Appu Kumar Singh

1.6k citations
24 papers · 1.2k · h-index 16

Impact in

Papers in

Appu Kumar Singh

24 papers receiving 1.2k citations

Peers

Appu Kumar Singh
Comparison fields: 5 of 70
  • Sensory Systems 705
  • Structural Biology 29
  • Cellular and Molecular Neuroscience 148
  • Physiology 20
  • Molecular Biology 306
Replace Kirill D. Nadezhdin with:
Kirill D. Nadezhdin Russia
Wenlei Ye United States
Maria V. Yelshanskaya United States
William F. Borschel United States
Cristina Fenollar‐Ferrer United States
Edward C. Twomey United States
Henriette Elisabeth Autzen Denmark
Luke L. McGoldrick United States
Han Wen China
Kouki K Touhara United States
Appu Kumar Singh relative to Kirill D. Nadezhdin Russia Kirill D. Nadezhdin's profile →
Citations per field
00.5×2×2.8×
Kirill D. Nadezhdin · 1×
Citations per year

Countries citing papers authored by Appu Kumar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Appu Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Appu Kumar Singh. 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 Appu Kumar Singh. The network helps show where Appu Kumar Singh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016193
2 2017173
3 2018160
4 2016113
5 201993
6 201892
7 201883
8 199355
9 201750
10 202246
11 202038
12 201929
13 201719
14 202018
15 201216
16 202016
17 201614
18 20239
19 20177
20 20186

About Appu Kumar Singh

Appu Kumar Singh is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Materials Chemistry, Molecular Biology and Genetics, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Channels and Receptors (13 papers), Enzyme Structure and Function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (2 papers), Ion channel regulation and function (2 papers), Bacterial Genetics and Biotechnology (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Sensory Systems (705 citations), Structural Biology (29 citations), Cellular and Molecular Neuroscience (148 citations), Physiology (20 citations) and Molecular Biology (306 citations). Appu Kumar Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alexander I. Sobolevsky, Luke L. McGoldrick, Kei Saotome, Maria V. Yelshanskaya, Edward C. Twomey, Robert A. Grassucci, Maria G. Kurnikova, Lusine H. Demirkhanyan, Eleonora Zakharian and Jared M. Sampson. Their work appears in journals such as Nature Structural & Molecular Biology, Science Advances, Nature Communications, Nature and Scientific Reports.

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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