Fernando Doñate

3.2k citations
56 papers · 1.8k · h-index 22

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 9
    • Peptidase Inhibition and Analysis 7
    • HER2/EGFR in Cancer Research 4

Fernando Doñate

55 papers receiving 1.8k citations

Peers

Fernando Doñate
Comparison fields: 5 of 112
  • Immunology and Allergy 234
  • Cancer Research 341
  • Oncology 508
  • Hematology 162
  • Molecular Biology 897
Replace Anne T. Truesdale with:
Anne T. Truesdale United States
William Westlin United States
Ana M. Tari United States
Robert A. Sikes United States
Olivier Dormond Switzerland
Aurelio Lorico United States
Fernando Vidal‐Vanaclocha Spain
Cheryl Nickerson‐Nutter United States
Germana Rappa United States
Hanna Romańska United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Doñate

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Doñate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008213
2 2006165
3 2010141
4 2006127
5 2006109
6 200882
7
Histidine-proline-rich glycoprotein has potent antiangiogenic activity mediated through the histidine-proline-rich domain.
200281
8 200877
9
Prostate-specific membrane antigen directed selective thrombotic infarction of tumors.
200269
10 201763
11 200860
12 201655
13 200249
14 201848
15 201747
16 200447
17 200443
18 201432
19 200028
20 199423

About Fernando Doñate

Fernando Doñate is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Immunology and Allergy, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (10 papers), Angiogenesis and VEGF in Cancer (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers), Peptidase Inhibition and Analysis (7 papers), Protease and Inhibitor Mechanisms (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Immunology and Allergy (234 citations), Cancer Research (341 citations), Oncology (508 citations), Hematology (162 citations) and Molecular Biology (897 citations). Fernando Doñate has collaborated with scholars based in United States, Canada and New Zealand. Frequent co-authors include Andrew P. Mazar, David E. Shaw, Jose C. Juarez, Xiaojun Guan, M L Plunkett, Oscar Betancourt, Graham C. Parry, Mari Manuia, Mark E. Burnett and Benoît Boivin. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical Cancer Research, Annals of Oncology and Current Cancer Drug Targets.

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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