Jefferson P. Hemerly

14 total papers · 413 total citations
10 papers, 350 citations indexed

About

Jefferson P. Hemerly is a scholar working on Oncology, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Jefferson P. Hemerly has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Jefferson P. Hemerly's work include Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cancer-related Molecular Pathways (2 papers). Jefferson P. Hemerly is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cancer-related Molecular Pathways (2 papers). Jefferson P. Hemerly collaborates with scholars based in Brazil, United States and Hungary. Jefferson P. Hemerly's co-authors include Janete M. Cerutti, André Uchimura Bastos, Gisele Oler, Sandro Roberto Valentini, María A. Juliano, Antonio C. F. Caires, Luiz Juliano, Gregory J. Riggins, Eduardo Tonon de Almeida and Antônio E. Mauro and has published in prestigious journals such as Analytical Biochemistry, Biochemical Journal and European Journal of Endocrinology.

In The Last Decade

Jefferson P. Hemerly

10 papers receiving 346 citations

Author Peers

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

Author Last Decade Papers Cites
Jefferson P. Hemerly 167 132 75 58 53 10 350
Zhen Li 157 0.9× 101 0.8× 52 0.7× 22 0.4× 13 0.2× 10 336
Ninche Alston 132 0.8× 113 0.9× 35 0.5× 23 0.4× 27 0.5× 13 352
Yasuo Bai 233 1.4× 171 1.3× 34 0.5× 20 0.3× 12 0.2× 14 391
Latonya Carrier 161 1.0× 130 1.0× 48 0.6× 31 0.5× 8 0.2× 9 353
R Kancherla 213 1.3× 122 0.9× 20 0.3× 48 0.8× 14 0.3× 14 382
Kokichi Suzuki 142 0.9× 87 0.7× 48 0.6× 114 2.0× 11 0.2× 15 398
André J. Niestroj 188 1.1× 121 0.9× 43 0.6× 81 1.4× 21 0.4× 11 376
Miaorong She 254 1.5× 118 0.9× 48 0.6× 18 0.3× 35 0.7× 15 390
Matthew T. DiMare 188 1.1× 128 1.0× 48 0.6× 44 0.8× 19 0.4× 6 317
Hermann Oberhuber 279 1.7× 89 0.7× 58 0.8× 24 0.4× 9 0.2× 16 376

Countries citing papers authored by Jefferson P. Hemerly

Since Specialization
Citations

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

Fields of papers citing papers by Jefferson P. Hemerly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jefferson P. Hemerly. 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 Jefferson P. Hemerly. The network helps show where Jefferson P. Hemerly may publish in the future.

Co-authorship network of co-authors of Jefferson P. Hemerly

This figure shows the co-authorship network connecting the top 25 collaborators of Jefferson P. Hemerly. A scholar is included among the top collaborators of Jefferson P. Hemerly 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 Jefferson P. Hemerly. Jefferson P. Hemerly 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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