Science Explorer Back to mapMap
Discussion
Researcher · Pittsburgh Supercomputing Center · United States

Philip D. Blood

Philip D. Blood publishes mostly in Molecular Biology, Information Systems and Management and Information Systems, on topics such as Genomics and Phylogenetic Studies, Scientific Computing and Data Management and Single-cell and spatial transcriptomics.

ORCID 0000-0002-9129-1223 OpenAlex
World rank
#377,037
of 7,710,434 ranked researchers
Rank in United States
#134,344
of 1,627,098
Works
105
Citations
12k
Citations per work
119.0
h-index
17
i10-index 21Top 42% in Molecular Biology
Philip D. Blood

What does Philip D. Blood research?

Philip D. Blood's work is mostly in Biochemistry, Genetics and Molecular Biology (41%), Computer Science (11%), Decision Sciences (8%).

Life Sciences: 43 works · 40.9% of their workBiochemistry, Genetics and Molecular Biology: 43 works · 40.9% of their workMolecular Biology: 39 works · 37.1% of their workBiophysics: 4 works · 3.8% of their workEverything else: 38 works · 36.4% of their workPhysical Sciences: 15 works · 14.4% of their workComputer Science: 11 works · 10.6% of their workInformation Systems: 7 works · 6.8% of their workComputer Networks and Communications: 4 works · 3.8% of their workEnvironmental Science: 4 works · 3.8% of their workEcology: 4 works · 3.8% of their workSocial Sciences: 9 works · 8.3% of their workDecision Sciences: 9 works · 8.3% of their workInformation Systems and Management: 9 works · 8.3% of their workTHEIR WORKPhilip D. Blood105works
Life Sciences41%Physical Sciences14%Social Sciences8%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Biochemistry, Genetics and Molecular Biology4340.9%
  2. Everything else3836.4%
    1. Computer Science1110.6%
    2. Environmental Science43.8%
    1. Decision Sciences98.3%
  1. 1Molecular Biology37% of their works
  2. 2Information Systems and Management8% of their works
  3. 3Information Systems7% of their works
  4. 4Ecology4% of their works
  5. 5Biophysics4% of their works
  6. 6Computer Networks and Communications4% of their works

Research topics

Which keywords describe Philip D. Blood's research?

The keywords of their largest research topics: RNA-Seq, Workflow Management, Phylogenetic Analysis, sequence alignment, Reproducibility, Scientific Workflows, Single-Cell and Transcriptomics.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. RNA-Seq222 topics
  2. Workflow Management162 topics
  3. Phylogenetic Analysis121 topic
  4. sequence alignment121 topic
  5. Reproducibility111 topic
  6. Scientific Workflows111 topic
  7. Single-Cell101 topic
  8. Transcriptomics101 topic
  9. Data Sharing81 topic
  10. Scientific Data Management81 topic
  11. Bioimage Analysis51 topic
  12. Distributed Systems51 topic
  13. Grid Computing51 topic
  14. High-Content Screening51 topic
  15. Lipid Rafts41 topic
  16. Membrane Lipids41 topic
  17. Protein41 topic
  18. Structure41 topic

Where does Philip D. Blood work?

Philip D. Blood's main affiliation in the publication record is Pittsburgh Supercomputing Center, United States.

How many publications and citations does Philip D. Blood have?

OpenAlex counts 105 works and 12,494 citations for Philip D. Blood, an h-index of 17, ranking #377,037 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Philip D. Blood. Posts are plain text and can be reported.