Shivendra D. Shukla
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- Alcohol Consumption and Health Effects 20
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 6
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 17
- Protein Kinase Regulation and GTPase Signaling 14
- Epigenetics and DNA Methylation 9
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 12
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- Endoplasmic Reticulum Stress and Disease 8
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- Platelet Disorders and Treatments 7
- Co-authors
- Annayya R. AroorDonald J. HanahanPil‐Hoon ParkStephen P. HalendaYoun Ju LeeDaniel E. JacksonRobert W. LimMahua Choudhury
- Journals
- The FASEB Journal (5 papers)Biochemical and Biophysical Research Communications (5 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)
- Partner nations
- United StatesIndiaSweden
In The Last Decade
Shivendra D. Shukla
79 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Pathology and Forensic Medicine 703
- Biochemistry 250
- Molecular Biology 1.4k
- Epidemiology 557
- Endocrinology, Diabetes and Metabolism 266
Countries citing papers authored by Shivendra D. Shukla
This map shows the geographic impact of Shivendra D. Shukla'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 Shivendra D. Shukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivendra D. Shukla more than expected).
Fields of papers citing papers by Shivendra D. Shukla
This network shows the impact of papers produced by Shivendra D. Shukla. 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 Shivendra D. Shukla. The network helps show where Shivendra D. Shukla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shivendra D. Shukla, 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 | 2017 | 16 | |
| 2 | 2014 | 17 | |
| 3 | 2012 | 27 | |
| 4 | 2012 | 25 | |
| 5 | 2012 | 18 | |
| 6 | 2011 | 47 | |
| 7 | 2010 | 49 | |
| 8 | 2009 | 4 | |
| 9 | 2008 | 152 | |
| 10 | 2008 | 48 | |
| 11 | 2007 | 98 | |
| 12 | 2005 | 62 | |
| 13 | 2003 | 96 | |
| 14 | 2002 | 31 | |
| 15 | 2000 | 6 | |
| 16 | 2000 | 19 | |
| 17 | 1997 | 10 | |
| 18 | 1996 | 39 | |
| 19 | 1992 | 42 | |
| 20 | 1991 | 5 |
About Shivendra D. Shukla
Shivendra D. Shukla is a scholar working on Biochemistry, Pathology and Forensic Medicine and Pharmacology, having authored 80 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (20 papers), Peroxisome Proliferator-Activated Receptors (17 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Epigenetics and DNA Methylation (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Platelet Disorders and Treatments (7 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (703 citations), Biochemistry (250 citations) and Molecular Biology (1.4k citations). Shivendra D. Shukla has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Annayya R. Aroor, Donald J. Hanahan, Pil‐Hoon Park, Stephen P. Halenda, Youn Ju Lee, Daniel E. Jackson, Robert W. Lim, Mahua Choudhury, Marpadga A. Reddy and Yu‐I Weng. Their work appears in journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Journal of Pharmacology and Experimental Therapeutics.
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.