Ravindra Pathak

2.2k citations
11 papers · 1.9k indexed · 1 hit paper · h-index 8

Impact in

    • Cellular transport and secretion
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

Ravindra Pathak

11 papers receiving 1.8k citations

Hit Papers

Recombinant adeno-associated virus for muscle directed gene therapy 1997 · 564 citations
5641997202620062016100200300400500

Peers

Ravindra Pathak
Comparison fields: 5 of 102
  • Cell Biology 355
  • Genetics 537
  • Biochemistry 129
  • Molecular Biology 1.1k
  • Clinical Biochemistry 107
Replace Lee Carpenter with:
Lee Carpenter United Kingdom
Pasqualina Colella Italy
Ph. Jeanteur France
Danielle Château France
Jacques Portoukalian France
M. Benjamin Hock United States
Cheryl B. Bock United States
Kerstin Quandt Germany
Xiaohui Wu China
Stephen G. Dann United States
Ravindra Pathak relative to Lee Carpenter United Kingdom Lee Carpenter's profile →
Citations per field
00.5×1.5×1.9×
Lee Carpenter · 1×
Citations per year

Countries citing papers authored by Ravindra Pathak

Since Specialization
Citations

This map shows the geographic impact of Ravindra Pathak'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 Ravindra Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravindra Pathak more than expected).

Fields of papers citing papers by Ravindra Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravindra Pathak. 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 Ravindra Pathak. The network helps show where Ravindra Pathak may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Ravindra Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ravindra Pathak Line = papers co-authored together Ravindra Pathak links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20211
2 20111
3 19981
4 199838
5
Early effects of pp60(v-src) kinase activation on caveolae.
199839
6
Recombinant adeno-associated virus for muscle directed gene therapy
Hit paper breakdown →
1997564
7 1996108
8 1995301
9 1994483
10 1985307
11 198310

About Ravindra Pathak

Ravindra Pathak is a scholar working on Cell Biology, Clinical Biochemistry, Biochemistry, Safety, Risk, Reliability and Quality and Agronomy and Crop Science, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Amino Acid Enzymes and Metabolism (1 paper), Virus-based gene therapy research (1 paper), Photoreceptor and optogenetics research (1 paper), Estrogen and related hormone effects (1 paper), Mitochondrial Function and Pathology (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Cell Biology (355 citations), Genetics (537 citations), Biochemistry (129 citations), Molecular Biology (1.1k citations) and Clinical Biochemistry (107 citations). Ravindra Pathak has collaborated with scholars based in United States and India. Frequent co-authors include Richard G.W. Anderson, Joseph L. Goldstein, Christine Kim Garcia, Michael S. Brown, Karin Jooss, Katherine A. High, Yiping Yang, James M. Wilson, Steven E. Raper and Krishna J. Fisher. Their work appears in journals such as Journal of Cellular Biochemistry, Cell, Nature Medicine, Biology of Reproduction and Journal of Biological Chemistry.

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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