Satish Raina

7.4k citations
67 papers · 6.0k indexed · 1 hit paper · h-index 37

Satish Raina

66 papers receiving 5.8k citations

Hit Papers

Aquaporin CHIP: the archetypal molecular water channel5321993202620042015100200300400500

Peers

Satish Raina
Comparison fields: 5 of 136
  • Endocrinology 884
  • Molecular Medicine 448
  • Genetics 2.2k
  • Cell Biology 976
  • Molecular Biology 3.9k
Replace Igor Stojiljković with:
Igor Stojiljković United States
Stefan D. Knight Sweden
Bauke Oudega Netherlands
Ronen Hazan Israel
Carl A. Schnaitman United States
Ying Shao China
Lisa Craig Canada
Kathleen Postle United States
Alexei Savchenko Canada
Lutz Schmitt Germany
Satish Raina relative to Igor Stojiljković United States Igor Stojiljković's profile →
Citations per field
00.5×1.5×
Igor Stojiljković · 1×
Citations per year

Countries citing papers authored by Satish Raina

Since Specialization
Citations

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

Fields of papers citing papers by Satish Raina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Satish Raina, 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 Satish Raina Line = papers co-authored together Satish Raina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 201482
3 201359
4 20137
5 201175
6 201147
7 200981
8 200927
9 2008470
10 200627
11 200385
12 2002156
13 2001317
14 19994
15 1998189
16 1997297
17 199794
18 19965
19 199636
20 199142

About Satish Raina

Satish Raina is a scholar working on Endocrinology, Genetics, Molecular Medicine, Cell Biology and Molecular Biology, having authored 67 papers that have together received 6.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), RNA and protein synthesis mechanisms (19 papers), Endoplasmic Reticulum Stress and Disease (13 papers), Protein Structure and Dynamics (10 papers), Escherichia coli research studies (9 papers), Enzyme Structure and Function (8 papers), Heat shock proteins research (8 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Endocrinology (884 citations), Molecular Medicine (448 citations), Genetics (2.2k citations), Cell Biology (976 citations) and Molecular Biology (3.9k citations). Satish Raina has collaborated with scholars based in Switzerland, Poland and Germany. Frequent co-authors include Dominique Missiakas, Costa Georgopoulos, Gracjana Klein, Jean‐Michel Betton, Françoise Schwager, Thomas E. Creighton, Abhilash Sasidharan, Cheil Moon, Shantikumar V. Nair and Peter Agre. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Journal of Bacteriology, Molecular Microbiology and The EMBO Journal.

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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