Rafael Fridman

10.1k citations
109 papers · 8.3k indexed · 1 hit paper · h-index 55

Rafael Fridman

109 papers receiving 8.2k citations

Hit Papers

Matrix metalloproteinases: structures, evolution, and div...19982026200720161998200400600

Peers

Rafael Fridman
Comparison fields: 5 of 128
  • Cancer Research 4.4k
  • Oncology 3.6k
  • Molecular Biology 3.4k
  • Immunology and Allergy 1.6k
  • Hematology 1.3k
Replace Takahisa Takino with:
Takahisa Takino Japan
Yves A. DeClerck United States
Stanley Zucker United States
Paul Basset France
Elena I. Deryugina United States
Barbara Fingleton United States
Kaoru Miyazaki Japan
Myriam Polette France
Reuven Reich Israel
Jasti S. Rao United States
Rafael Fridman relative to Takahisa Takino Japan Takahisa Takino's profile →
Citations per field
00.5×1.5×2.0×
Takahisa Takino · 1×
Citations per year

Countries citing papers authored by Rafael Fridman

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Fridman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Fridman

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Fridman. A scholar is included among the top collaborators of Rafael Fridman 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 Rafael Fridman. Rafael Fridman 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
#WorkIndexed citations
1 5
2 8
3 24
4 33
5 85
6 27
7 25
8 29
9 36
10 79
11
Inhibition of human prostate cancer growth and osteolysis in a bone metastasis model by a mechanism-based specific gelatinase inhibitor (SB-3CT)
1
12 12
13 66
14 164
15 37
16 106
17 121
18 121
19 158
20 116

About Rafael Fridman

Rafael Fridman is a scholar working on Cancer Research, Immunology and Allergy and Oncology, having authored 109 papers that have together received 8.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (81 papers), Peptidase Inhibition and Analysis (56 papers) and Cell Adhesion Molecules Research (31 papers). The work is most often cited by research in Cancer Research (4.4k citations), Immunology and Allergy (1.6k citations) and Oncology (3.6k citations). Rafael Fridman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Shahriar Mobashery, Márta Tóth, M. Margarida Bernardo, Lakshmi P. Kotra, Irina Massova, Anjum Sohail, Stephen H.M. Brown, David C. Gervasi, Xuwen Liu and Sonia Hernandez‐Barrantes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

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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