Kamala Tyagarajan

836 citations
14 papers · 672 indexed · h-index 10
Topics
Glycosylation and Glycoproteins Research (3 papers)Ion Transport and Channel Regulation (2 papers)Lipid Membrane Structure and Behavior (2 papers)

In The Last Decade

Kamala Tyagarajan

13 papers receiving 655 citations

Peers

Kamala Tyagarajan
Comparison fields: 5 of 81
  • Surgery 348
  • Molecular Biology 307
  • Immunology 214
  • Cell Biology 88
  • Small Animals 59
Replace Ji-Hyun Shin with:
Ji-Hyun Shin South Korea
C.P.H.J. Verstijnen Netherlands
Marie‐Elisabeth Forgue‐Lafitte France
Stephen C. Artim United States
Emily E. Muntel United States
Jean‐François Bouhours France
Klavs H. Jørgensen Denmark
Malaya Bhattacharya United States
J.F. Bouhours France
D. McCool Canada
Kamala Tyagarajan relative to Ji-Hyun Shin South Korea Ji-Hyun Shin's profile →
Citations per field
00.5×7.0×
Ji-Hyun Shin · 1×
Citations per year

Countries citing papers authored by Kamala Tyagarajan

Since Specialization
Citations

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

Fields of papers citing papers by Kamala Tyagarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamala Tyagarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Kamala Tyagarajan. A scholar is included among the top collaborators of Kamala Tyagarajan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kamala Tyagarajan. Kamala Tyagarajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 1
2 1
3
Simplified evaluation of apoptosis using the Muse cell analyzer.
21
4
Performance of Aged, TransFix-Treated Blood in the Guava EasyCD4 and EasyCD8 Assays
2
5 84
6 30
7 90
8 33
9 16
10 333
11 24
12 22
13 2
14 13

About Kamala Tyagarajan

Kamala Tyagarajan is a scholar working on Toxicology, Physiology and Virology, having authored 14 papers that have together received 672 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Ion Transport and Channel Regulation (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Immunology (214 citations), Small Animals (59 citations) and Surgery (348 citations). Kamala Tyagarajan has collaborated with scholars based in United States, Russia and Netherlands. Frequent co-authors include John G. Forte, John E. Wiktorowicz, Elizabeth Pretzer, Joseph G. Duman, R. Reid Townsend, Hsiao-Ping H. Moore, Ben J. Appelmelk, Theo Verboom, James M. Crothers and P Ghiara. Their work appears in journals such as The Journal of Immunology, Biochemistry and Cancer Research.

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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