Shivendra D. Shukla

3.3k citations
80 papers · 2.7k indexed · h-index 31
Topics
Alcohol Consumption and Health Effects (20 papers)Peroxisome Proliferator-Activated Receptors (17 papers)Protein Kinase Regulation and GTPase Signaling (14 papers)
Partner nations
United StatesIndiaSweden

In The Last Decade

Shivendra D. Shukla

79 papers receiving 2.7k citations

Peers

Shivendra D. Shukla
Comparison fields: 5 of 110
  • Molecular Biology 1.4k
  • Pathology and Forensic Medicine 703
  • Epidemiology 557
  • Physiology 373
  • Endocrinology, Diabetes and Metabolism 266
Replace Hartmut Ruetten with:
Hartmut Ruetten Germany
Merce Miranda Spain
Nasun Hah United States
X. Charlie Dong United States
Yiming Lin China
Arthur R. Buckley United States
Christopher C. Franklin United States
Jonathan D. Brown United States
Radha Ananthakrishnan United States
G. Béréziat France
Shivendra D. Shukla relative to Hartmut Ruetten Germany Hartmut Ruetten's profile →
Citations per field
00.5×2.6×
Hartmut Ruetten · 1×
Citations per year

Countries citing papers authored by Shivendra D. Shukla

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Shivendra D. Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Shivendra D. Shukla. A scholar is included among the top collaborators of Shivendra D. Shukla 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 Shivendra D. Shukla. Shivendra D. Shukla 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
#WorkIndexed citations
1 16
2 17
3 27
4 25
5 18
6 47
7 49
8 4
9 152
10 48
11 98
12 62
13 96
14 31
15 6
16 19
17 10
18 39
19 42
20 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) and Protein Kinase Regulation and GTPase Signaling (14 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.

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