Subramaniam Malarkannan
- Immunology top 0.5%
- Immune Cell Function and Interaction 69
- T-cell and B-cell Immunology 43
- Immunotherapy and Immune Responses 16
- IL-33, ST2, and ILC Pathways 12
- Immune cells in cancer 8
- Oncology top 2%
- CAR-T cell therapy research 23
- Cancer Immunotherapy and Biomarkers 9
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 7
- Molecular Biology top 10%
- Cancer Research top 10%
- Co-authors
- Monica S. ThakarChao YangAlex AbelNilabh ShastriPawan KumarKamalakannan RajasekaranTiffany HorngDerry C. Roopenian
- Cited by
- ImmunologyOncologyHematology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Subramaniam Malarkannan
97 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Immunology 2.9k
- Oncology 1.1k
- Hematology 353
- Molecular Biology 969
- Cancer Research 187
Countries citing papers authored by Subramaniam Malarkannan
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
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
The 25 scholars most cited alongside Subramaniam Malarkannan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2022 | 4 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 125 | |
| 6 | 2019 | 177 | |
| 7 | 2018 | 18 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 79 | |
| 11 | 2015 | 76 | |
| 12 | 2013 | 36 | |
| 13 | 2009 | 57 | |
| 14 | 2008 | 50 | |
| 15 | 2007 | 35 | |
| 16 | 2006 | 41 | |
| 17 | 2004 | 47 | |
| 18 | 2003 | 21 | |
| 19 | 2001 | 72 | |
| 20 | 2000 | 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), CAR-T cell therapy research (23 papers), Immunotherapy and Immune Responses (16 papers), IL-33, ST2, and ILC Pathways (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Immune cells in cancer (8 papers) and Hematopoietic Stem Cell Transplantation (7 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.