Dhan Chand

1.0k total citations · 1 hit paper
42 papers, 571 citations indexed

About

Dhan Chand is a scholar working on Oncology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dhan Chand has authored 42 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 18 papers in Immunology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dhan Chand's work include CAR-T cell therapy research (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Dhan Chand is often cited by papers focused on CAR-T cell therapy research (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Cancer Immunotherapy and Biomarkers (9 papers). Dhan Chand collaborates with scholars based in United States, Canada and India. Dhan Chand's co-authors include David A. Lovejoy, Adam M. Sonabend, Daniel J. Brat, Catalina Lee-Chang, Daniel J. McGrail, Roger Stupp, Crismita Dmello, Víctor A. Arrieta, Amy B. Heimberger and Neha Sharma and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dhan Chand

37 papers receiving 558 citations

Hit Papers

Immune checkpoint blockade in glioblastoma: from tumor he... 2023 2026 2024 2025 2023 40 80 120

Peers

Dhan Chand
Comparison fields: 5 of 85
  • Molecular Biology 183
  • Immunology 169
  • Oncology 137
  • Cellular and Molecular Neuroscience 94
  • Genetics 72
Replace Takashi Nakakura with:
Takashi Nakakura Japan
Guillaume E. Béranger France
Thomas Stempfl Germany
Ning‐Ai Liu United States
Edwin Roovers Netherlands
Claude Tougard France
Tim Wintermantel Germany
Raúl Jiménez Heredia Austria
Kazuhiko Haruta Japan
William Todd Penberthy United States
Takashi Nakakura Japan View profile →
Citations per field, relative to Dhan Chand
Dhan Chand · 1×
Citations per year, relative to Dhan Chand
Dhan Chand · 1×

Countries citing papers authored by Dhan Chand

Since Specialization
Citations

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

Fields of papers citing papers by Dhan Chand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhan Chand

This figure shows the co-authorship network connecting the top 25 collaborators of Dhan Chand. A scholar is included among the top collaborators of Dhan Chand 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 Dhan Chand. Dhan Chand 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
# Work Indexed citations
1 9
2 0
3 0
4
Immune checkpoint blockade in glioblastoma: from tumor heterogeneity to personalized treatment breakdown →
148
5 5
6 6
7 2
8 64
9 11
10 19
11 15
12 30
13 32
14 14
15 65
16 29
17 10
18 11
19 34
20 5

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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2026