Pradip De

1.6k citations
61 papers · 1.3k · h-index 17

Impact in

Papers in

    • HER2/EGFR in Cancer Research 8
    • PARP inhibition in cancer therapy 6
    • PI3K/AKT/mTOR signaling in cancer 12
    • Angiogenesis and VEGF in Cancer 6

Pradip De

55 papers receiving 1.3k citations

Peers

Pradip De
Comparison fields: 5 of 101
  • Immunology and Allergy 88
  • Immunology 259
  • Oncology 279
  • Cancer Research 153
  • Genetics 106
Replace Supurna Ghosh with:
Supurna Ghosh United States
Qiping Zheng China
Hong‐Tao Xu China
Carolyn S. Ernst United States
Yuichiro Nagai Japan
Qing Chang China
Laure Garrigue‐Antar France
Yukari Yamazaki Japan
Yiwen You China
Pradip De relative to Supurna Ghosh United States Supurna Ghosh's profile →
Citations per field
00.5×2.6×
Supurna Ghosh · 1×
Citations per year

Countries citing papers authored by Pradip De

Since Specialization
Citations

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

Fields of papers citing papers by Pradip De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008245
2 2008142
3 200797
4 200497
5 201694
6 199471
7
Evading anti-angiogenic therapy: resistance to anti-angiogenic therapy in solid tumors.
201562
8 200757
9 201356
10 200944
11 200239
12 201635
13 200531
14 201322
15 200822
16 202318
17 199218
18 201914
19 201714
20 201611

About Pradip De

Pradip De is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (12 papers), Advanced Breast Cancer Therapies (9 papers), HER2/EGFR in Cancer Research (8 papers), Angiogenesis and VEGF in Cancer (6 papers), PARP inhibition in cancer therapy (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Cell Adhesion Molecules Research (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Immunology and Allergy (88 citations), Immunology (259 citations), Oncology (279 citations), Cancer Research (153 citations) and Genetics (106 citations). Pradip De has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Nandini Dey, Donald L. Durden, Qiong Peng, Jing Su, Brian Leyland‐Jones, Jayasree Sengupta, Debabrata Ghosh, Robert L. Geahlen, Joseph R. Garlich and Ramon Parsons. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, International Journal of Molecular Sciences, British Journal of Cancer and Blood.

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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