Krishna Kumar

966 citations
26 papers · 736 · h-index 16

Impact in

Papers in

Krishna Kumar

26 papers receiving 726 citations

Peers

Krishna Kumar
Comparison fields: 5 of 111
  • Developmental Neuroscience 119
  • Cellular and Molecular Neuroscience 303
  • Neurology 111
  • Biological Psychiatry 29
  • Endocrine and Autonomic Systems 65
Replace Fenglian Xu with:
Fenglian Xu Canada
M Zaremba Poland
Daisaku Yokomaku Japan
Víctor Briz United States
Silke Penschuck Switzerland
Dariusz Orłowski Denmark
Luis M. Tuesta United States
Yoshiki Matsumoto Japan
Irina Korshunova Denmark
Ivan L. Salazar Portugal
Krishna Kumar relative to Fenglian Xu Canada Fenglian Xu's profile →
Citations per field
00.5×1.6×
Fenglian Xu · 1×
Citations per year

Countries citing papers authored by Krishna Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201278
3 202268
4 201964
5 201657
6 201048
7 201744
8 200839
9 200838
10 200930
11 202029
12 200926
13 201725
14 200821
15 200821
16 202016
17 201914
18
Sequence analysis of infectious bursal disease virus isolates from India: phylogenetic relationships.
20039
19 20228
20 19936

About Krishna Kumar

Krishna Kumar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Computer Networks and Communications and Neurology, having authored 26 papers that have together received 736 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Developmental Biology and Gene Regulation (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Developmental Neuroscience (119 citations), Cellular and Molecular Neuroscience (303 citations), Neurology (111 citations), Biological Psychiatry (29 citations) and Endocrine and Autonomic Systems (65 citations). Krishna Kumar has collaborated with scholars based in Singapore, Germany and China. Frequent co-authors include Christoph Redies, Sreedharan Sajikumar, Thomas Behnisch, Nicole Hertel, Tuck Wah Soong, D. Chichung Lie, Otto W. Witte, Silke Keiner, Christoph Redecker and Nimmi Baby. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology, Prospects, Neuroscience and Nature Communications.

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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