Robert M. DeKroon

34 total papers · 963 total citations
26 papers, 759 citations indexed

About

Robert M. DeKroon is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Robert M. DeKroon has authored 26 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Physiology. Recurrent topics in Robert M. DeKroon's work include Alzheimer's disease research and treatments (5 papers), Cellular transport and secretion (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Robert M. DeKroon is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Cellular transport and secretion (5 papers) and Advanced Proteomics Techniques and Applications (4 papers). Robert M. DeKroon collaborates with scholars based in United States, Australia and Bulgaria. Robert M. DeKroon's co-authors include Patricia J. Armati, Nancy Raab‐Traub, Rachel Hood Edwards, Harsha P. Gunawardena, Sezgin Özgür, Blossom Damania, Phillip Heaton, David G. Meckes, Jack D. Griffith and Jennifer B. Robinette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Blood.

In The Last Decade

Robert M. DeKroon

25 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Robert M. DeKroon 391 195 122 109 98 26 759
Rina Zilkha‐Falb 260 0.7× 207 1.1× 51 0.4× 67 0.6× 50 0.5× 31 649
Lucie Janečková 396 1.0× 268 1.4× 138 1.1× 116 1.1× 75 0.8× 29 841
Andrea Loreto 371 0.9× 167 0.9× 106 0.9× 90 0.8× 108 1.1× 35 876
Makoto Kunishige 446 1.1× 192 1.0× 119 1.0× 61 0.6× 79 0.8× 38 819
Thomas J. Langan 294 0.8× 85 0.4× 168 1.4× 94 0.9× 48 0.5× 43 642
Woldeab B. Haile 251 0.6× 110 0.6× 61 0.5× 145 1.3× 97 1.0× 17 672
Stephanie García 384 1.0× 200 1.0× 305 2.5× 141 1.3× 65 0.7× 19 798
Sara Sepe 425 1.1× 145 0.7× 220 1.8× 55 0.5× 57 0.6× 22 797
Herena Eixarch 389 1.0× 119 0.6× 55 0.5× 65 0.6× 29 0.3× 31 774
Cagla Akay 289 0.7× 60 0.3× 58 0.5× 110 1.0× 83 0.8× 31 711

Countries citing papers authored by Robert M. DeKroon

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. DeKroon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. DeKroon. 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 Robert M. DeKroon. The network helps show where Robert M. DeKroon may publish in the future.

Co-authorship network of co-authors of Robert M. DeKroon

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. DeKroon. A scholar is included among the top collaborators of Robert M. DeKroon 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 Robert M. DeKroon. Robert M. DeKroon 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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