Ashok Kumar

11.9k total citations · 1 hit paper
222 papers, 8.9k citations indexed

About

Ashok Kumar is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Ashok Kumar has authored 222 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 36 papers in Physiology and 28 papers in Cancer Research. Recurrent topics in Ashok Kumar's work include Muscle Physiology and Disorders (79 papers), Adipose Tissue and Metabolism (21 papers) and NF-κB Signaling Pathways (15 papers). Ashok Kumar is often cited by papers focused on Muscle Physiology and Disorders (79 papers), Adipose Tissue and Metabolism (21 papers) and NF-κB Signaling Pathways (15 papers). Ashok Kumar collaborates with scholars based in United States, India and Canada. Ashok Kumar's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Ashok Kumar

204 papers receiving 8.7k citations

Hit Papers

Nuclear factor-?B: its role in health and disease 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashok Kumar United States 53 5.4k 1.8k 1.3k 1.2k 1.1k 222 8.9k
Hinnak Northoff Germany 50 2.4k 0.5× 1.4k 0.8× 622 0.5× 1.3k 1.1× 699 0.7× 206 8.2k
Martin Steinhoff United States 77 3.0k 0.6× 3.6k 2.0× 1.3k 1.0× 3.1k 2.6× 1.5k 1.4× 280 20.5k
Jing Liu China 53 6.1k 1.1× 1.6k 0.9× 1.1k 0.8× 804 0.7× 752 0.7× 268 9.9k
Jonathan S. Reichner United States 40 2.0k 0.4× 1.3k 0.8× 549 0.4× 3.0k 2.5× 651 0.6× 103 7.2k
Alan W. Stitt United Kingdom 66 5.3k 1.0× 1.2k 0.7× 906 0.7× 1.1k 0.9× 681 0.6× 237 14.6k
Jill Suttles United States 45 3.4k 0.6× 1.0k 0.6× 1.1k 0.8× 3.8k 3.2× 361 0.3× 85 8.3k
Wenli Yang China 33 5.7k 1.1× 5.1k 2.8× 1.0k 0.8× 314 0.3× 836 0.8× 100 10.7k
Qiong Wang China 44 2.6k 0.5× 3.7k 2.0× 765 0.6× 1.0k 0.9× 474 0.4× 141 7.6k
Mi‐Jeong Lee United States 47 2.5k 0.5× 3.2k 1.8× 786 0.6× 567 0.5× 423 0.4× 183 8.2k
Denis C. Guttridge United States 61 10.4k 1.9× 5.2k 2.9× 3.6k 2.8× 2.3k 1.9× 1.0k 0.9× 146 16.8k

Countries citing papers authored by Ashok Kumar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ashok Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ashok Kumar. A scholar is included among the top collaborators of Ashok Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashok Kumar. Ashok Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Silva, Meiricris Tomaz da, et al.. (2025). Fibroblast growth factor–inducible 14 regulates satellite cell self-renewal and expansion during skeletal muscle repair. JCI Insight. 10(5). 1 indexed citations
2.
Silva, Meiricris Tomaz da, et al.. (2025). The canonical ER stress IRE1α/XBP1 pathway mediates skeletal muscle wasting during pancreatic cancer cachexia. EMBO Molecular Medicine. 17(12). 3607–3635.
5.
Kumar, Ashok, et al.. (2024). Maternal Stress and its Associated Factors among Working Nurses in Public Sector Tertiary Care Teaching Hospitals, Karachi. Pakistan BioMedical Journal. 32–27. 1 indexed citations
6.
Sopariwala, Danesh H., et al.. (2023). Estrogen‐Related Receptor Gamma Gene Therapy Promotes Therapeutic Angiogenesis and Muscle Recovery in Preclinical Model of PAD. Journal of the American Heart Association. 12(16). e028880–e028880. 7 indexed citations
7.
Das, Ankita, et al.. (2023). Ameliorating impaired cardiac function in myocardial infarction using exosome-loaded gallic-acid-containing polyurethane scaffolds. Bioactive Materials. 33. 324–340. 27 indexed citations
9.
Sopariwala, Danesh H., Guangsheng Pei, Anirban Roy, et al.. (2022). Innately expressed estrogen‐related receptors in the skeletal muscle are indispensable for exercise fitness. The FASEB Journal. 37(2). e22727–e22727. 15 indexed citations
10.
Silva, Meiricris Tomaz da, et al.. (2022). Targeted ablation of Fn14 receptor improves exercise capacity and inhibits neurogenic muscle atrophy. The FASEB Journal. 36(12). e22666–e22666. 9 indexed citations
11.
Kumar, Ashok, et al.. (2016). An effective combined therapy of meglumine antimoniate and co-trimoxazole for cutaneous leishmaniasis: A study in Quetta City. Journal of Pakistan Association of Dermatology. 24(2). 122–126. 1 indexed citations
12.
Nagarajan, S. & Ashok Kumar. (2016). Distribution of Highly Pathogenic (H5N1) Avian Influenza Virus in Meat from Experimentally Infected Chicken and Ducks. 13(1). 47–50. 1 indexed citations
13.
Kumar, Ashok, et al.. (2012). Blood lactate response to different workload patterns in female weight lifters. 8(2). 87. 2 indexed citations
14.
Kumar, Ashok, et al.. (2012). Role of nitric oxide in animal reproduction: A review. 2(2). 137–144. 1 indexed citations
15.
Kremer, Kimberly N., Ashok Kumar, & Karen E. Hedin. (2011). Gαi2 and ZAP-70 Mediate RasGRP1 Membrane Localization and Activation of SDF-1–Induced T Cell Functions. The Journal of Immunology. 187(6). 3177–3185. 14 indexed citations
16.
Panguluri, Siva K., Shephali Bhatnagar, Akhilesh Kumar, et al.. (2010). Genomic Profiling of Messenger RNAs and MicroRNAs Reveals Potential Mechanisms of TWEAK-Induced Skeletal Muscle Wasting in Mice. PLoS ONE. 5(1). e8760–e8760. 71 indexed citations
17.
Gupta, Vinod Kumar, Shikha Sharma, V. S. Vihan, & Ashok Kumar. (2008). Serum enzymes and thyroid hormone in sub-clinical ketosis in goat and sheep reared under organized farming system. The Indian Journal of Animal Sciences. 78(11). 2 indexed citations
18.
Kumar, Ashok, et al.. (2005). Blood biochemical changes in some important parasitic infestations in goats for clinical appraisal. Indian Journal of Small Ruminants (The). 11(2). 156–160. 2 indexed citations
19.
Bajaj, Kiran, Vinay Kumar Srivastava, & Ashok Kumar. (2004). Synthesis and psychotropic evaluation of some new N- substitutedbenzothia/oxazepinylphenothiazines ‡. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 43(1). 157–161. 3 indexed citations
20.
Bhilegaonkar, K. N., et al.. (2003). Rapid identification of Listeria monocytogenes by cell surface protein based indirect ELISA. The Indian Journal of Animal Sciences. 73(1). 3–8. 1 indexed citations

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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