Subramaniam Malarkannan

5.4k citations
97 papers · 3.9k indexed · 1 hit paper · h-index 35
Topics
Immune Cell Function and Interaction (69 papers)T-cell and B-cell Immunology (43 papers)CAR-T cell therapy research (23 papers)
Partner nations
United StatesChinaPoland

In The Last Decade

Subramaniam Malarkannan

97 papers receiving 3.9k citations

Hit Papers

Natural Killer Cells: Development, Maturation, and Clinic...20182026202020232018250500750

Peers

Subramaniam Malarkannan
Comparison fields: 5 of 115
  • Immunology 2.9k
  • Oncology 1.1k
  • Molecular Biology 969
  • Hematology 353
  • Epidemiology 334
Replace Anne Caignard with:
Anne Caignard France
Sylvie Lesage Canada
Sung‐Yun Pai United States
Frédéric Vely France
Myriam Baratin France
Gabriella Pietra Italy
Pinaki P. Banerjee United States
Pamela J. Fink United States
Duncan Howie United Kingdom
Charles E. Egwuagu United States
Subramaniam Malarkannan relative to Anne Caignard France Anne Caignard's profile →
Citations per field
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Anne Caignard · 1×
Citations per year

Countries citing papers authored by Subramaniam Malarkannan

Since Specialization
Citations

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

Fields of papers citing papers by Subramaniam Malarkannan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subramaniam Malarkannan

This figure shows the co-authorship network connecting the top 25 collaborators of Subramaniam Malarkannan. A scholar is included among the top collaborators of Subramaniam Malarkannan 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 Subramaniam Malarkannan. Subramaniam Malarkannan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 4
3 3
4 14
5 125
6 177
7 18
8 13
9 1
10 79
11 76
12 36
13 57
14 50
15 35
16 41
17 47
18 21
19 72
20 91

About Subramaniam Malarkannan

Subramaniam Malarkannan is a scholar working on Immunology, Oncology and Hematology, having authored 97 papers that have together received 3.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (69 papers), T-cell and B-cell Immunology (43 papers) and CAR-T cell therapy research (23 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (1.1k citations) and Hematology (353 citations). Subramaniam Malarkannan has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Monica S. Thakar, Chao Yang, Alex Abel, Nilabh Shastri, Pawan Kumar, Kamalakannan Rajasekaran, Tiffany Horng, Derry C. Roopenian, Gregory J. Christianson and Matthew J. Riese. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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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