Jasmine Sukumar

407 citations
20 papers · 238 · h-index 7

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Cancer Cells and Metastasis

Papers in

    • Cancer Treatment and Pharmacology 4
    • Cancer Immunotherapy and Biomarkers 3
    • Colorectal Cancer Treatments and Studies 2
    • HER2/EGFR in Cancer Research 2
    • Advanced Breast Cancer Therapies 5

Jasmine Sukumar

17 papers receiving 234 citations

Peers

Jasmine Sukumar
Comparison fields: 5 of 64
  • Cancer Research 72
  • Oncology 117
  • Immunology 30
  • Pulmonary and Respiratory Medicine 43
  • Molecular Biology 77
Replace Kunli Du with:
Kunli Du China
Loïck Galland France
Zbigniew T. Czyż Germany
Maria Teresa Ionta Italy
Yuanxi Zhu China
Jianli Zhao China
Eriseld Krasniqi Italy
Nicole Williams United States
Beili Gao China
Yasuteru Fujino Japan
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Citations per field
00.5×
Kunli Du · 1×
Citations per year

Countries citing papers authored by Jasmine Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Jasmine Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020134
2 202022
3 202114
4 202112
5 202411
6 201910
7 20238
8 20255
9 20234
10 20224
11 20234
12 20193
13 20242
14 20252
15 20231
16 20251
17 20221
18 20240
19 20250
20 20240

About Jasmine Sukumar

Jasmine Sukumar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 20 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (5 papers), Cancer Treatment and Pharmacology (4 papers), Breast Cancer Treatment Studies (4 papers), BRCA gene mutations in cancer (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (72 citations), Oncology (117 citations), Immunology (30 citations), Pulmonary and Respiratory Medicine (43 citations) and Molecular Biology (77 citations). Jasmine Sukumar has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Maryam B. Lustberg, Dionisia Quiroga, Nicole Williams, Bhuvaneswari Ramaswamy, Sagar Sardesai, Mahmoud Kassem, Daniel G. Stover, Robert Wesolowski, Mathew Cherian and Nicole Williams. Their work appears in journals such as Journal of Clinical Oncology, JNCI Monographs, Breast Cancer Research and Treatment, Cancers and Annals of Palliative Medicine.

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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