Science Explorer Back to mapMap
Discussion
Researcher · Indian Institute of Toxicology Research · India

Rukmani Pandey

Rukmani Pandey publishes mostly in Molecular Biology, Health, Toxicology and Mutagenesis and Computer Vision and Pattern Recognition, on topics such as Neurological Disease Mechanisms and Treatments, Heavy Metal Exposure and Toxicity and Angiogenesis and VEGF in Cancer.

ORCID 0000-0003-3020-5923 OpenAlex
World rank
#3,154,746
of 7,710,434 ranked researchers
Rank in India
#66,220
of 280,097
Works
19
Citations
466
Citations per work
24.5
h-index
10
i10-index 10Top 76% in Molecular Biology
Rukmani Pandey

What does Rukmani Pandey research?

Rukmani Pandey's work is mostly in Environmental Science (18%), Biochemistry, Genetics and Molecular Biology (16%), Neuroscience (14%).

Everything else: 8 works · 41.1% of their workLife Sciences: 6 works · 30.4% of their workBiochemistry, Genetics and Molecular Biology: 3 works · 16.1% of their workMolecular Biology: 3 works · 16.1% of their workNeuroscience: 3 works · 14.3% of their workNeurology: 2 works · 10.7% of their workCellular and Molecular Neuroscience: 1 works · 3.6% of their workPhysical Sciences: 5 works · 28.5% of their workEnvironmental Science: 3 works · 17.8% of their workHealth, Toxicology and Mutagenesis: 2 works · 10.7% of their workEnvironmental Chemistry: 1 works · 7.1% of their workComputer Science: 2 works · 10.7% of their workComputer Vision and Pattern Recognition: 2 works · 10.7% of their workTHEIR WORKRukmani Pandey19works
Life Sciences30%Physical Sciences28%

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. Everything else841.1%
    1. Biochemistry, Genetics and Molecular Biology316.1%
    2. Neuroscience314.3%
    1. Environmental Science317.8%
    2. Computer Science210.7%
  1. 1Molecular Biology16% of their works
  2. 2Health, Toxicology and Mutagenesis11% of their works
  3. 3Computer Vision and Pattern Recognition11% of their works
  4. 4Neurology11% of their works
  5. 5Environmental Chemistry7% of their works
  6. 6Cellular and Molecular Neuroscience4% of their works

Research topics

Which keywords describe Rukmani Pandey's research?

The keywords of their largest research topics: Oxidative Stress, Deep Learning, Cerebral Hypoperfusion, Lead Exposure, Metal Toxicity, Vascular Cognitive Impairment, Arsenic and endothelial progenitor cells.

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. Oxidative Stress82 topics
  2. Deep Learning63 topics
  3. Cerebral Hypoperfusion41 topic
  4. Lead Exposure41 topic
  5. Metal Toxicity41 topic
  6. Vascular Cognitive Impairment41 topic
  7. Arsenic31 topic
  8. VEGF31 topic
  9. Water31 topic
  10. endothelial progenitor cells31 topic
  11. Contrast Enhancement21 topic
  12. Dehazing21 topic
  13. Image Denoising21 topic
  14. Inflammasome21 topic
  15. NLRP321 topic
  16. Saliency Detection21 topic
  17. Sparse Representations21 topic
  18. Visual Attention21 topic

Where does Rukmani Pandey work?

Rukmani Pandey's main affiliation in the publication record is Indian Institute of Toxicology Research, India.

How many publications and citations does Rukmani Pandey have?

OpenAlex counts 19 works and 466 citations for Rukmani Pandey, an h-index of 10, ranking #3,154,746 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 Rukmani Pandey. Posts are plain text and can be reported.