Deepa R Hammaker

2.5k citations
40 papers · 2.1k · h-index 28

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • NF-κB Signaling Pathways

Papers in

Deepa R Hammaker

39 papers receiving 2.0k citations

Peers

Deepa R Hammaker
Comparison fields: 5 of 104
  • Rheumatology 621
  • Cancer Research 325
  • Immunology 464
  • Oncology 378
  • Hematology 149
Replace Miyuki Nagasaki with:
Miyuki Nagasaki Japan
Masayuki Mizui Japan
Gianna Baroni Italy
Qian Gong China
Paul Emery United Kingdom
Eric Suto United States
Brenda A. Carito United States
Mikiro Takaishi Japan
Paul J. Coffer Netherlands
Deepa R Hammaker relative to Miyuki Nagasaki Japan Miyuki Nagasaki's profile →
Citations per field
00.5×2×3.2×
Miyuki Nagasaki · 1×
Citations per year

Countries citing papers authored by Deepa R Hammaker

Since Specialization
Citations

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

Fields of papers citing papers by Deepa R Hammaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa R Hammaker. 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 Deepa R Hammaker. The network helps show where Deepa R Hammaker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009186
2 2007155
3 2018143
4 2006112
5 2016105
6 200691
7 200381
8 200472
9 201772
10 201271
11 200764
12 200562
13 201459
14 200356
15 201952
16 201151
17 201548
18 200547
19 201546
20 200646

About Deepa R Hammaker

Deepa R Hammaker is a scholar working on Rheumatology, Cancer Research, Immunology, Oncology and Molecular Biology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Rheumatoid Arthritis Research and Therapies (11 papers), Cytokine Signaling Pathways and Interactions (9 papers), NF-κB Signaling Pathways (7 papers), interferon and immune responses (5 papers), Galectins and Cancer Biology (2 papers), Cancer-related gene regulation (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Rheumatology (621 citations), Cancer Research (325 citations), Immunology (464 citations), Oncology (378 citations) and Hematology (149 citations). Deepa R Hammaker has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gary S. Firestein, David L. Boyle, Tomoyuki Inoue, D L Boyle, Sanna Rosengren, Maripat Corr, Rizi Ai, Sedona Sweeney, GS Firestein and Wei Wang. Their work appears in journals such as The Journal of Immunology, Annals of the Rheumatic Diseases, Nature Communications, PLoS ONE and Arthritis Research & Therapy.

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.

Explore authors with similar magnitude of impact