José Manuel Cóndor Capcha

893 citations
23 papers · 618 · h-index 11

Impact in

    • Bee Products Chemical Analysis
    • Insect and Pesticide Research
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing

Papers in

José Manuel Cóndor Capcha

21 papers receiving 605 citations

Peers

José Manuel Cóndor Capcha
Comparison fields: 5 of 95
  • Insect Science 127
  • Infectious Diseases 123
  • Genetics 47
  • Food Science 84
  • Nephrology 29
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Zhiming Ma China
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Ruyi Zhang China
Achchhe Lal Vishwakarma India
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Adrien Paquot Belgium
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Valentina Rubino Italy
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Countries citing papers authored by José Manuel Cóndor Capcha

Since Specialization
Citations

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

Fields of papers citing papers by José Manuel Cóndor Capcha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José Manuel Cóndor Capcha. 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 José Manuel Cóndor Capcha. The network helps show where José Manuel Cóndor Capcha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020194
2 202189
3 201771
4 201761
5 202150
6 201926
7 202124
8 202023
9 202115
10 202214
11 202011
12 202310
13 20229
14 20207
15 20217
16 20232
17 20241
18 20211
19 20231
20 20211

About José Manuel Cóndor Capcha

José Manuel Cóndor Capcha is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Pharmacology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 23 papers that have together received 618 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), COVID-19 Clinical Research Studies (6 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiac Imaging and Diagnostics (3 papers), Computational Drug Discovery Methods (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Bee Products Chemical Analysis (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Insect Science (127 citations), Infectious Diseases (123 citations), Genetics (47 citations), Food Science (84 citations) and Nephrology (29 citations). José Manuel Cóndor Capcha has collaborated with scholars based in United States, Brazil and Panama. Frequent co-authors include Marcelo Augusto Duarte Silveira, Andresa Aparecida Berretta, David De Jong, Lina A. Shehadeh, Lúcia Andrade, Talita Rojas Sanches, Camila Eleutério Rodrigues, Péter Buchwald, Sung-Ting Chuang and Óscar Garnica. Their work appears in journals such as Circulation, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Frontiers in Pediatrics, BMC Nephrology and Frontiers in Cardiovascular Medicine.

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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