Ashok Kumar
Impact in
- Rehabilitation top 0.5%
- Exercise and Physiological Responses
- Cancer Research top 1%
- NF-κB Signaling Pathways
Papers in
-
- Muscle Physiology and Disorders 79
- Physiology 36
- Adipose Tissue and Metabolism 21
- Telomeres, Telomerase, and Senescence 9
- Co-authors
- Shephali Bhatnagar (20 shared papers)Sajedah M. Hindi (21 shared papers)Hong Li (7 shared papers)Yasunari Takada (1 shared paper)Aladin M. Boriek (5 shared papers)Bharat B. Aggarwal (4 shared papers)Pradyut K. Paul (9 shared papers)Marjan M. Tajrishi (8 shared papers)
- Journals
- The FASEB Journal (15 papers)Journal of Biological Chemistry (12 papers)The Journal of Immunology (9 papers)PLoS ONE (4 papers)Journal of Molecular Medicine (4 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Ashok Kumar
204 papers receiving 8.7k citations
Ashok Kumar's Hit Papers
Peers
Comparison fields: 5 of 153
- Rehabilitation 804
- Cancer Research 1.3k
- Aging 139
- Molecular Biology 5.4k
- Physiology 1.8k
Countries citing papers authored by Ashok Kumar
This map shows the geographic impact of Ashok Kumar'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 Ashok Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashok Kumar more than expected).
Fields of papers citing papers by Ashok Kumar
This network shows the impact of papers produced by Ashok Kumar. 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 Ashok Kumar. The network helps show where Ashok Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashok Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nuclear factor-?B: its role in health and disease Hit paper breakdown → | 2004 | 804 |
| 2 | 2008 | 350 | |
| 3 | 2006 | 318 | |
| 4 | 2001 | 274 | |
| 5 | 1997 | 255 | |
| 6 | 2003 | 228 | |
| 7 | 1998 | 210 | |
| 8 | 2007 | 197 | |
| 9 | 2006 | 194 | |
| 10 | 2010 | 193 | |
| 11 | 2010 | 188 | |
| 12 | 2013 | 170 | |
| 13 | 2017 | 149 | |
| 14 | 2009 | 142 | |
| 15 | 2006 | 139 | |
| 16 | 1998 | 139 | |
| 17 | 2004 | 137 | |
| 18 | 2012 | 120 | |
| 19 | 2017 | 110 | |
| 20 | 2004 | 108 |
About Ashok Kumar
Ashok Kumar is a scholar working on Molecular Biology, Physiology, Cancer Research, Epidemiology and Cell Biology, having authored 222 papers that have together received 8.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (79 papers), Adipose Tissue and Metabolism (21 papers), NF-κB Signaling Pathways (15 papers), Exercise and Physiological Responses (13 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Protease and Inhibitor Mechanisms (10 papers), Neurogenetic and Muscular Disorders Research (9 papers) and Telomeres, Telomerase, and Senescence (9 papers). The work is most often cited by research in Rehabilitation (804 citations), Cancer Research (1.3k citations), Aging (139 citations), Molecular Biology (5.4k citations) and Physiology (1.8k citations). Ashok Kumar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Shephali Bhatnagar, Sajedah M. Hindi, Hong Li, Yasunari Takada, Aladin M. Boriek, Bharat B. Aggarwal, Pradyut K. Paul, Marjan M. Tajrishi, Charu Dogra and Shweta Malhotra. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, The Journal of Immunology, PLoS ONE and Journal of Molecular Medicine.
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.