Sílvia Coma

1.6k citations
38 papers · 857 · h-index 13

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Lymphatic System and Diseases
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Sílvia Coma

35 papers receiving 845 citations

Peers

Sílvia Coma
Comparison fields: 5 of 74
  • Oncology 276
  • Genetics 85
  • Cellular and Molecular Neuroscience 141
  • Immunology 162
  • Cancer Research 111
Replace Susanne Kleber with:
Susanne Kleber Germany
Ren Xu United States
Qiqun Zeng China
Michael Kluge Germany
Sonia Pagliardini Italy
Denis Tvorogov Finland
José Lastiri Argentina
Toshinori Iwahara Japan
Abhik Ray Chaudhury United States
Kang Han China
Sílvia Coma relative to Susanne Kleber Germany Susanne Kleber's profile →
Citations per field
00.5×1.5×
Susanne Kleber · 1×
Citations per year

Countries citing papers authored by Sílvia Coma

Since Specialization
Citations

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

Fields of papers citing papers by Sílvia Coma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 202291
3 201287
4 201383
5 201070
6 200456
7 201655
8 202154
9 201149
10 201545
11 201340
12 202227
13 202124
14 202411
15 202511
16 20029
17 20166
18 20235
19 20245
20 19875

About Sílvia Coma

Sílvia Coma is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Genetics, having authored 38 papers that have together received 857 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer Mechanisms and Therapy (5 papers), Immune Cell Function and Interaction (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Oncology (276 citations), Genetics (85 citations), Cellular and Molecular Neuroscience (141 citations), Immunology (162 citations) and Cancer Research (111 citations). Sílvia Coma has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Michael Klagsbrun, Akio Shimizu, Jonathan A. Pachter, Tomoshige Akino, Akiko Mammoto, Hironao Nakayama, Elisa Boscolo, Matthew L. Warman, Joyce Bischoff and Carlos J. Ciudad. Their work appears in journals such as Cancer Research, Blood, Molecular Cancer Therapeutics, Scientific Reports and Angiogenesis.

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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