Anil Shanker

2.5k citations
74 papers · 1.9k · h-index 26

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 5%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 22
    • Immunotherapy and Immune Responses 17
    • T-cell and B-cell Immunology 11
    • CAR-T cell therapy research 13
    • Cancer Immunotherapy and Biomarkers 8

Anil Shanker

71 papers receiving 1.9k citations

Peers

Anil Shanker
Comparison fields: 5 of 121
  • Immunology 901
  • Oncology 584
  • Biological Psychiatry 53
  • Hematology 137
  • Neurology 98
Replace Shinji Oki with:
Shinji Oki Japan
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Nicholas J. Bessman United States
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Jolanda Schreurs United States
Péter Gogolák Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Anil Shanker

Since Specialization
Citations

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

Fields of papers citing papers by Anil Shanker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 2008130
3 201991
4 201390
5 200785
6 201185
7 200677
8 200873
9 201164
10 201560
11 201058
12 201547
13 200444
14 200040
15 201539
16 200938
17 201938
18 201137
19 201537
20 200036

About Anil Shanker

Anil Shanker is a scholar working on Immunology, Oncology, Molecular Biology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (22 papers), Immunotherapy and Immune Responses (17 papers), CAR-T cell therapy research (13 papers), T-cell and B-cell Immunology (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Mitochondrial Function and Pathology (6 papers), Cell death mechanisms and regulation (5 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Immunology (901 citations), Oncology (584 citations), Biological Psychiatry (53 citations), Hematology (137 citations) and Neurology (98 citations). Anil Shanker has collaborated with scholars based in United States, France and India. Frequent co-authors include Roman V. Uzhachenko, Thomas Joseph Sayers, Anshu Malhotra, Maria Teresa P. de Aquino, Sukh Mahendra Singh, Akiko Shimamoto, Samuel Troy Pellom, Hideo Yagita∥, Menaka Chanu Thounaojam and Mikhail M. Dikov. Their work appears in journals such as Frontiers in Immunology, Cancer Research, The Journal of Immunology, Immunology Letters and Journal for ImmunoTherapy of Cancer.

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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