Devika Gajria

1.3k citations
20 papers · 955 · h-index 13

Impact in

  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis
  • Urology top 5%
    • Hair Growth and Disorders

Papers in

    • HER2/EGFR in Cancer Research 6
    • Cancer Treatment and Pharmacology 5
    • Colorectal Cancer Treatments and Studies 2
    • Hair Growth and Disorders 3

Devika Gajria

19 papers receiving 937 citations

Peers

Devika Gajria
Comparison fields: 5 of 73
  • Oncology 492
  • Urology 97
  • Dermatology 73
  • Radiology, Nuclear Medicine and Imaging 155
  • Cancer Research 99
Replace Amy Freyman with:
Amy Freyman United States
Julie R. Nangia United States
Sara López‐Tarruella Spain
Nigel J. Parr United Kingdom
Pooja Ghatalia United States
Kim E. Leitzel United States
Kazuki Yamanaka Japan
Michael E. Menefee United States
Amarnath Challapalli United Kingdom
Matthias Choschzick Germany
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Citations per field
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Citations per year

Countries citing papers authored by Devika Gajria

Since Specialization
Citations

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

Fields of papers citing papers by Devika Gajria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011402
2 201392
3 201882
4 201461
5 201957
6 200848
7
Caspase activation is required for gemcitabine activity in multiple myeloma cell lines.
200237
8 202335
9 201723
10 201122
11 201120
12 201116
13 201114
14 202413
15 201611
16 201011
17 20097
18 20152
19 20092
20 20250

About Devika Gajria

Devika Gajria is a scholar working on Oncology, Urology, Genetics, Hematology and Cancer Research, having authored 20 papers that have together received 955 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Cancer Treatment and Pharmacology (5 papers), Hair Growth and Disorders (3 papers), Acute Myeloid Leukemia Research (2 papers), Advanced Breast Cancer Therapies (2 papers), Breast Cancer Treatment Studies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Oncology (492 citations), Urology (97 citations), Dermatology (73 citations), Radiology, Nuclear Medicine and Imaging (155 citations) and Cancer Research (99 citations). Devika Gajria has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Sarat Chandarlapaty, Shanu Modi, Shari Beth Goldfarb, Mario E. Lacouture, Jerry Shapiro, Clifford A. Hudis, Monica Nancy Fornier, Donald Chan, Larry Norton and Azael Freites‐Martínez. Their work appears in journals such as JAMA Dermatology, Breast Cancer Research and Treatment, Clinical Breast Cancer, 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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