Deepti Behl

944 citations
29 papers · 601 · h-index 10

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation

Papers in

    • Lung Cancer Treatments and Mutations 4
    • Gastric Cancer Management and Outcomes 3
    • Advanced Breast Cancer Therapies 3
    • Colorectal Cancer Treatments and Studies 4
    • Cancer Immunotherapy and Biomarkers 3
    • Pancreatic and Hepatic Oncology Research 3

Deepti Behl

27 papers receiving 593 citations

Peers

Deepti Behl
Comparison fields: 5 of 66
  • Oncology 392
  • Immunology 165
  • Cancer Research 96
  • Hematology 62
  • Genetics 47
Replace P H de Mulder with:
P H de Mulder Netherlands
Monika Csóka Hungary
Markus Falk Germany
Hwa Jung Sung South Korea
Larry E. Puls United States
Angela A. Guzzetta United States
Kayoko Kibata Japan
Anjum Hassan United States
Chun‐Hsin Wu Taiwan
José R. Valbuena United States
Deepti Behl relative to P H de Mulder Netherlands P H de Mulder's profile →
Citations per field
00.5×3.5×
P H de Mulder · 1×
Citations per year

Countries citing papers authored by Deepti Behl

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Behl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepti Behl, 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 Deepti Behl Line = papers co-authored together Deepti Behl 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 2019241
2 2005104
3 200751
4 200746
5 200929
6 201824
7 201017
8 201016
9 200716
10 200511
11 20227
12 20236
13 20056
14 20235
15 20085
16 20242
17 20232
18 20232
19 20222
20 20202

About Deepti Behl

Deepti Behl is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Genetics and Epidemiology, having authored 29 papers that have together received 601 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Gastric Cancer Management and Outcomes (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Advanced Breast Cancer Therapies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (392 citations), Immunology (165 citations), Cancer Research (96 citations), Hematology (62 citations) and Genetics (47 citations). Deepti Behl has collaborated with scholars based in United States. Frequent co-authors include Tara Elisabeth Seery, Shannon McDonough, Anthony F. Shields, E. Gabriela Chiorean, Howard S. Höchster, Paul Mehan, Jeremy Kortmansky, Jaykumar Thumar, Katherine A. Guthrie and Ramesh K. Ramanathan. Their work appears in journals such as Journal of Clinical Oncology, JCO Precision Oncology, Mayo Clinic Proceedings, Annals of Oncology and Cancer Research.

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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