Deepa Hammaker

2.5k total citations
39 papers, 1.9k citations indexed

About

Deepa Hammaker is a scholar working on Molecular Biology, Rheumatology and Cancer Research. According to data from OpenAlex, Deepa Hammaker has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Rheumatology and 17 papers in Cancer Research. Recurrent topics in Deepa Hammaker's work include Rheumatoid Arthritis Research and Therapies (15 papers), NF-κB Signaling Pathways (14 papers) and Melanoma and MAPK Pathways (13 papers). Deepa Hammaker is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (15 papers), NF-κB Signaling Pathways (14 papers) and Melanoma and MAPK Pathways (13 papers). Deepa Hammaker collaborates with scholars based in United States, Germany and United Kingdom. Deepa Hammaker's co-authors include Gary S. Firestein, David L. Boyle, Tomoyuki Inoue, D L Boyle, Sanna Rosengren, Maripat Corr, GS Firestein, Rizi Ai, Sedona Sweeney and Wei Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Deepa Hammaker

38 papers receiving 1.9k citations

Peers

Deepa Hammaker
Comparison fields: 5 of 113
  • Molecular Biology 871
  • Rheumatology 659
  • Immunology 534
  • Oncology 440
  • Cancer Research 419
Replace Dongyi He with:
Dongyi He China
Gabriel Criado Spain
Violeta Rus United States
David Fernández United States
Masayuki Mizui Japan
Barry Ripley Japan
Niels H. H. Heegaard Denmark
Gianna Baroni Italy
Mengkun Zhang United States
Dongyi He China View profile →
Citations per field, relative to Deepa Hammaker
Deepa Hammaker · 1×
Citations per year, relative to Deepa Hammaker
Deepa Hammaker · 1×

Countries citing papers authored by Deepa Hammaker

Since Specialization
Citations

This map shows the geographic impact of Deepa 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 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 Hammaker more than expected).

Fields of papers citing papers by Deepa Hammaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Hammaker

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Hammaker. A scholar is included among the top collaborators of Deepa Hammaker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deepa Hammaker. Deepa Hammaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 25
4 7
5 25
6 69
7 42
8 97
9 47
10 68
11 49
12 35
13 25
14 38
15 140
16 87
17 28
18 104
19 60
20 70

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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