Nisha E. Pillai

842 citations
10 papers · 288 · h-index 7

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Genomics and Phylogenetic Studies 2
    • RNA Research and Splicing 1
    • Genetics and Neurodevelopmental Disorders 1
    • Estrogen and related hormone effects 1

Nisha E. Pillai

10 papers receiving 287 citations

Peers

Nisha E. Pillai
Comparison fields: 5 of 56
  • Rheumatology 57
  • Immunology 70
  • Physiology 13
  • Genetics 72
  • Genetics 18
Replace Rodney M. Dale with:
Rodney M. Dale United States
Juergen R. Vielkind Canada
Alexander Apschner Netherlands
Sandeep Paul United States
Keiji Miura Japan
Caroline Millet United Kingdom
Adam Root United States
Katarzyna A. Piróg United Kingdom
Tarang K. Mehta United Kingdom
Marcia Puchi Chile
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Citations per field
00.5×4.5×
Rodney M. Dale · 1×
Citations per year

Countries citing papers authored by Nisha E. Pillai

Since Specialization
Citations

This map shows the geographic impact of Nisha E. Pillai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nisha E. Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisha E. Pillai more than expected).

Fields of papers citing papers by Nisha E. Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha E. Pillai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nisha E. Pillai. The network helps show where Nisha E. Pillai may publish in the future.

Co-authors

The 25 scholars most cited alongside Nisha E. Pillai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nisha E. Pillai Line = papers co-authored together Nisha E. Pillai links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2014103
2 202191
3 201430
4 201715
5 201915
6 201513
7 20218
8 20156
9 20174
10 20213

About Nisha E. Pillai

Nisha E. Pillai is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Aquatic Science, having authored 10 papers that have together received 288 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (2 papers), T-cell and B-cell Immunology (2 papers), Genomics and Phylogenetic Studies (2 papers), Physiological and biochemical adaptations (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Estrogen and related hormone effects (1 paper), RNA Research and Splicing (1 paper) and Fish Biology and Ecology Studies (1 paper). The work is most often cited by research in Rheumatology (57 citations), Immunology (70 citations), Physiology (13 citations), Genetics (72 citations) and Genetics (18 citations). Nisha E. Pillai has collaborated with scholars based in Singapore, Japan and United States. Frequent co-authors include Byrappa Venkatesh, Vydianathan Ravi, Aravind Prasad, Prashant Shingate, Aoife McLysaght, Yoichiro Nakatani, Rick Twee‐Hee Ong, Woei‐Yuh Saw, Kwang-Woo Kim and Hye‐Soon Lee. Their work appears in journals such as Nature Communications, Molecular Biology and Evolution, Genome Biology and Evolution, Proceedings of the National Academy of Sciences and Proceedings of the Royal Society B Biological Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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