Ashok Kumar
- Molecular Biology top 5%
- Epidemiology top 5%
- Physiology top 2%
- Cell Biology top 2%
- Immunology top 10%
- Co-authors
- Ralph A. NixonWai Haung YuBarry BolandSarah LeeFrances M. PlattJerzy WęgielJulie D. SabaAshutosh Shrivastava
- Topics
- Sphingolipid Metabolism and Signaling (22 papers)RNA and protein synthesis mechanisms (16 papers)DNA and Nucleic Acid Chemistry (10 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Ashok Kumar
133 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.4k
- Epidemiology 942
- Physiology 932
- Cell Biology 656
- Immunology 368
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-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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 26 | |
| 15 | 14 | |
| 16 | Autophagy Induction and Autophagosome Clearance in Neurons: Relationship to Autophagic Pathology in Alzheimer's Diseasebreakdown → | 891 |
| 17 | Bacteriological, biochemical and histopathological studies in uroperitoneum in buffalo calves (Bubalus bubalis) | 11 |
| 18 | 123 | |
| 19 | Erythrocyte enzymes δ-aminolevulinic acid dehydratase and lead poisoning. | 1 |
| 20 | Effect of divalent metal ions and adenine nucleotides on phosphoglycerate kinase of mung beans | 2 |
About Ashok Kumar
Ashok Kumar is a scholar working on Fuel Technology, Molecular Biology and Immunology, having authored 147 papers that have together received 4.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (22 papers), RNA and protein synthesis mechanisms (16 papers) and DNA and Nucleic Acid Chemistry (10 papers). The work is most often cited by research in Cell Biology (656 citations), Physiology (932 citations) and Molecular Biology (2.4k citations). Ashok Kumar has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Ralph A. Nixon, Wai Haung Yu, Barry Boland, Sarah Lee, Frances M. Platt, Jerzy Węgiel, Julie D. Saba, Ashutosh Shrivastava, Manendra Singh Tomar and Chhitij Srivastava. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.