Nitya Ramkumar

501 citations
11 papers · 323 · h-index 8

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Hippo pathway signaling and YAP/TAZ
    • Cellular transport and secretion

Papers in

    • Cellular Mechanics and Interactions 6
    • Microtubule and mitosis dynamics 4
    • Hippo pathway signaling and YAP/TAZ 3
    • Developmental Biology and Gene Regulation 4
    • Wnt/β-catenin signaling in development and cancer 2

Nitya Ramkumar

10 papers receiving 322 citations

Peers

Nitya Ramkumar
Comparison fields: 5 of 71
  • Cell Biology 174
  • Aging 10
  • Molecular Biology 215
  • Biophysics 16
  • Genetics 40
Replace Battuya Bayarmagnai with:
Battuya Bayarmagnai United States
Joseph Dopie Finland
Michael F. Z. Wang United States
Hui Yi Grace Lim Singapore
Lisa J. Edens United States
Win Pin Ng United States
Eric S. Schiffhauer United States
Andreas C. Chai United States
Andrew Weems United States
Ivan S. Chernoivanenko Russia
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Citations per field
00.5×2.6×
Battuya Bayarmagnai · 1×
Citations per year

Countries citing papers authored by Nitya Ramkumar

Since Specialization
Citations

This map shows the geographic impact of Nitya Ramkumar'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 Nitya Ramkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitya Ramkumar more than expected).

Fields of papers citing papers by Nitya Ramkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitya Ramkumar. 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 Nitya Ramkumar. The network helps show where Nitya Ramkumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Nitya Ramkumar, 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 Nitya Ramkumar Line = papers co-authored together Nitya Ramkumar links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2016101
2 201660
3 201944
4 201532
5 201127
6 201926
7 202011
8 20219
9 20227
10 20086
11 20250

About Nitya Ramkumar

Nitya Ramkumar is a scholar working on Cell Biology, Molecular Biology, Oncology, Biophysics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Developmental Biology and Gene Regulation (4 papers), Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Cells and Metastasis (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cell Biology (174 citations), Aging (10 citations), Molecular Biology (215 citations), Biophysics (16 citations) and Genetics (40 citations). Nitya Ramkumar has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Buzz Baum, Kathryn V. Anderson, C. Jane McGlade, Jan Wijnholds, Nancy F. Silva-Gagliardi, Tatiana Omelchenko, Manuel Théry, Francesca Farina, Tobias Zech and Giorgio Scita. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell, Nature Cell Biology, The EMBO Journal and Journal of Neuroscience.

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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