Daniel Caplivski

102 total papers · 2.6k total citations
17 papers, 176 citations indexed

About

Daniel Caplivski is a scholar working on Epidemiology, Infectious Diseases and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Daniel Caplivski has authored 17 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Infectious Diseases and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Daniel Caplivski's work include Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (3 papers) and Parasites and Host Interactions (3 papers). Daniel Caplivski is often cited by papers focused on Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (3 papers) and Parasites and Host Interactions (3 papers). Daniel Caplivski collaborates with scholars based in United States, Brazil and France. Daniel Caplivski's co-authors include Shirish Huprikar, Edward J. Bottone, Shradha Agarwal, Gabriel Gondolesi, Gopi Patel, Antonios Arvelakis, Bernhard Sauter, Mary E. Klotman, Nahid Bhadelia and Maoxin Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Kidney International and The American Journal of Medicine.

In The Last Decade

Daniel Caplivski

15 papers receiving 171 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Caplivski 67 57 42 34 30 17 176
Yasuaki Yanagawa 93 1.4× 48 0.8× 72 1.7× 117 3.4× 28 0.9× 32 243
Demócrito Barros Miranda-Filho 82 1.2× 34 0.6× 27 0.6× 122 3.6× 64 2.1× 19 273
Christopher N. Miller 32 0.5× 75 1.3× 15 0.4× 52 1.5× 14 0.5× 15 239
Claire M. Italiano 75 1.1× 66 1.2× 19 0.5× 54 1.6× 23 0.8× 17 223
Amy Crowe 87 1.3× 23 0.4× 27 0.6× 43 1.3× 27 0.9× 25 188
Paola Lichtenberger 149 2.2× 35 0.6× 16 0.4× 15 0.4× 26 0.9× 18 248
Tahir Eyayu 51 0.8× 88 1.5× 9 0.2× 52 1.5× 47 1.6× 30 235
A. Bruno 68 1.0× 118 2.1× 57 1.4× 135 4.0× 83 2.8× 22 285
Jeffery D. Semel 111 1.7× 11 0.2× 24 0.6× 85 2.5× 17 0.6× 13 288
Caroline Theunissen 64 1.0× 78 1.4× 23 0.5× 119 3.5× 46 1.5× 25 244

Countries citing papers authored by Daniel Caplivski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Caplivski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Caplivski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Caplivski. A scholar is included among the top collaborators of Daniel Caplivski 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 Daniel Caplivski. Daniel Caplivski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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