Badri Modi

2.4k citations
29 papers · 566 · h-index 11

Impact in

    • Cutaneous lymphoproliferative disorders research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • CAR-T cell therapy research 5
    • Cancer Diagnosis and Treatment 3
    • Cutaneous Melanoma Detection and Management 2
    • Cutaneous lymphoproliferative disorders research 5

Badri Modi

29 papers receiving 557 citations

Peers

Badri Modi
Comparison fields: 5 of 89
  • Dermatology 94
  • Hematology 83
  • Immunology 128
  • Oncology 128
  • Cognitive Neuroscience 70
Replace Rebecca Kohnken with:
Rebecca Kohnken United States
Victoria Holloway United States
Lee Napierata United States
Anette Karle Switzerland
André Luíz Teles e Silva Brazil
Chiara Cipriani Italy
Charlotte W. Ockeloen Netherlands
Takehiro Higashi Japan
Jörg Wendler Germany
Takeo Juji Japan
Badri Modi relative to Rebecca Kohnken United States Rebecca Kohnken's profile →
Citations per field
00.5×3.9×
Rebecca Kohnken · 1×
Citations per year

Countries citing papers authored by Badri Modi

Since Specialization
Citations

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

Fields of papers citing papers by Badri Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012102
2 200993
3 201178
4 201865
5 201639
6 201927
7 201125
8 201621
9 202019
10 202015
11 201612
12 202210
13 201910
14 20219
15 20138
16 20217
17 20185
18 20203
19 20173
20 20123

About Badri Modi

Badri Modi is a scholar working on Oncology, Dermatology, Epidemiology, Hematology and Immunology, having authored 29 papers that have together received 566 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Nonmelanoma Skin Cancer Studies (6 papers), CAR-T cell therapy research (5 papers), Cutaneous lymphoproliferative disorders research (5 papers), Immunotherapy and Immune Responses (3 papers), Cancer Diagnosis and Treatment (3 papers), Autoimmune Bullous Skin Diseases (2 papers) and Cutaneous Melanoma Detection and Management (2 papers). The work is most often cited by research in Dermatology (94 citations), Hematology (83 citations), Immunology (128 citations), Oncology (128 citations) and Cognitive Neuroscience (70 citations). Badri Modi has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Fahmeed Hyder, Dario J. Englot, Asht M. Mishra, Matthew N. DeSalvo, Hal Blumenfeld, Robert G. Micheletti, Amandeep Salhotra, Ryotaro Nakamura, Haris Ali and Elisabeth D. Martínez. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Academy of Dermatology, Cancers, British Journal of Cancer and Journal of Neuroscience.

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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