Srikanth Ranganathan

2.5k citations
29 papers · 2.1k · h-index 21

Impact in

Papers in

Srikanth Ranganathan

28 papers receiving 2.0k citations

Peers

Srikanth Ranganathan
Comparison fields: 5 of 97
  • Electrochemistry 372
  • Bioengineering 141
  • Neurology 313
  • Genetics 218
  • Hepatology 153
Replace Li Shen with:
Li Shen China
Laura Lovato Italy
Emmanuel Roussakis United States
Huagang Hou United States
Jeong Won Park South Korea
Yoshiyuki Okamoto United States
Mitsuru Ishikawa Japan
Seog Woo Rhee South Korea
Ruslan I. Dmitriev Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Srikanth Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000280
2 2001214
3 2005172
4 1999163
5 1999152
6 2006136
7 2003135
8 2008125
9 2001114
10 200287
11 200163
12 199758
13 201051
14 200147
15 201730
16 201329
17 200828
18 201828
19 200128
20 201127

About Srikanth Ranganathan

Srikanth Ranganathan is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Neurology and Electrochemistry, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Electrochemical Analysis and Applications (5 papers), Mitochondrial Function and Pathology (4 papers), Electrochemical sensors and biosensors (3 papers), Liver physiology and pathology (3 papers), Molecular Junctions and Nanostructures (3 papers) and Semiconductor materials and devices (3 papers). The work is most often cited by research in Electrochemistry (372 citations), Bioengineering (141 citations), Neurology (313 citations), Genetics (218 citations) and Hepatology (153 citations). Srikanth Ranganathan has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Richard L. McCreery, Robert Bowser, Marc Madou, Tzu‐Chi Kuo, Kenneth H. Fischbeck, John Laterra, George G. Harmison, Roger Abounader, Franklin Anariba and Barrington G. Burnett. Their work appears in journals such as Analytical Chemistry, The Journal of Physical Chemistry B, Journal of Neurochemistry, Experimental Neurology and JNCI Journal of the National Cancer Institute.

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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