Deepak Mittal

4.0k citations
28 papers · 3.1k indexed · 1 hit paper · h-index 21
Topics
Cancer Immunotherapy and Biomarkers (11 papers)Immune Cell Function and Interaction (10 papers)Immunotherapy and Immune Responses (9 papers)
Partner nations
AustraliaJapanCanada

In The Last Decade

Deepak Mittal

27 papers receiving 3.0k citations

Hit Papers

New insights into cancer immunoediting and its three comp...201420262018202220142505007501000

Peers

Deepak Mittal
Comparison fields: 5 of 104
  • Immunology 1.7k
  • Oncology 1.7k
  • Molecular Biology 807
  • Physiology 404
  • Cancer Research 310
Replace Melvyn T. Chow with:
Melvyn T. Chow Australia
Laurie Menger France
Abdul Qader Sukkurwala France
Maximilien Tailler France
Tatiana Akimova United States
Mitomu Kioi Japan
Nicole E. Scharping United States
Ahmed Hamaï France
Barbara Molon Italy
Kris F. Sachsenmeier United States
Deepak Mittal relative to Melvyn T. Chow Australia Melvyn T. Chow's profile →
Citations per field
00.5×1.5×2.1×
Melvyn T. Chow · 1×
Citations per year

Countries citing papers authored by Deepak Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Mittal. A scholar is included among the top collaborators of Deepak Mittal 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 Deepak Mittal. Deepak Mittal 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 90
2 14
3 42
4 37
5 20
6 63
7 103
8 94
9 187
10 142
11 76
12 11
13 226
14 10
15 21
16 249
17 48
18 34
19 141
20 37

About Deepak Mittal

Deepak Mittal is a scholar working on Physiology, Immunology and Oncology, having authored 28 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Immune Cell Function and Interaction (10 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Physiology (404 citations), Immunology (1.7k citations) and Oncology (1.7k citations). Deepak Mittal has collaborated with scholars based in Australia, Japan and Canada. Frequent co-authors include Mark J. Smyth, Robert D. Schreiber, Matthew M. Gubin, Arabella Young, John Stagg, Kimberley Stannard, Murugan Kalimutho, Kum Kum Khanna, Michele W.L. Teng and Sriganesh Srihari. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The EMBO Journal.

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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