V. C. Padmakumar
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- Nuclear Structure and Function
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
- RNA regulation and disease
Papers in
-
- Nuclear Structure and Function 4
- RNA Research and Splicing 4
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- RNA and protein synthesis mechanisms 1
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Angelika A. Noegel (4 shared papers)Iakowos Karakesisoglou (4 shared papers)Sabu Abraham (3 shared papers)Philipp Kaldis (3 shared papers)Wenshu Lu (3 shared papers)Vincenzo Coppola (4 shared papers)Lino Tessarollo (4 shared papers)Josef Gotzmann (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Proceedings of the National Academy of Sciences (2 papers)Analytical Biochemistry (1 paper)American Journal Of Pathology (1 paper)Oncogene (1 paper)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
V. C. Padmakumar
12 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Cell Biology 411
- Molecular Biology 1.1k
- Oncology 149
- Cancer Research 78
- Developmental Biology 10
Countries citing papers authored by V. C. Padmakumar
This map shows the geographic impact of V. C. Padmakumar'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 V. C. Padmakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. C. Padmakumar more than expected).
Fields of papers citing papers by V. C. Padmakumar
This network shows the impact of papers produced by V. C. Padmakumar. 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 V. C. Padmakumar. The network helps show where V. C. Padmakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside V. C. Padmakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 357 | |
| 2 | 2012 | 301 | |
| 3 | 2004 | 174 | |
| 4 | 2005 | 150 | |
| 5 | 2008 | 128 | |
| 6 | 2014 | 99 | |
| 7 | 2013 | 71 | |
| 8 | 2012 | 50 | |
| 9 | 2009 | 32 | |
| 10 | 2012 | 23 | |
| 11 | 2014 | 18 | |
| 12 | 2003 | 2 |
About V. C. Padmakumar
V. C. Padmakumar is a scholar working on Molecular Biology, Oncology, Cell Biology, Dermatology and Rehabilitation, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (3 papers), Cellular Mechanics and Interactions (3 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), RNA and protein synthesis mechanisms (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Cell Biology (411 citations), Molecular Biology (1.1k citations), Oncology (149 citations), Cancer Research (78 citations) and Developmental Biology (10 citations). V. C. Padmakumar has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Angelika A. Noegel, Iakowos Karakesisoglou, Sabu Abraham, Philipp Kaldis, Wenshu Lu, Vincenzo Coppola, Lino Tessarollo, Josef Gotzmann, Roland Foisner and Martin Wasser. Their work appears in journals such as Journal of Cell Science, Proceedings of the National Academy of Sciences, Analytical Biochemistry, American Journal Of Pathology and Oncogene.
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.