Nathan Rakieten

35 total papers · 1.6k total citations
19 papers, 1.3k citations indexed

About

Nathan Rakieten is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Nathan Rakieten has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Oncology. Recurrent topics in Nathan Rakieten's work include Pancreatic function and diabetes (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Nathan Rakieten is often cited by papers focused on Pancreatic function and diabetes (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). Nathan Rakieten collaborates with scholars based in United States and United Kingdom. Nathan Rakieten's co-authors include Morris L. Rakieten, Philip S. Schein, David A. Cooney, Benjamin S. Gordon, Ruth D. Davis, James P. Chovan, Robert P. Klett, David P. Rall, Jay Tepperman and James H. Birnie and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Pharmaceutical Sciences and Toxicology and Applied Pharmacology.

In The Last Decade

Nathan Rakieten

18 papers receiving 1.2k citations

Hit Papers

Studies on the diabetogen... 1963 2026 1984 2005 1963 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Nathan Rakieten 424 396 367 234 162 19 1.3k
Xinfu Guan 381 0.9× 337 0.9× 357 1.0× 342 1.5× 111 0.7× 33 1.5k
Olivia Ittoop 446 1.1× 821 2.1× 301 0.8× 422 1.8× 161 1.0× 21 1.5k
Zoltán Balázs 530 1.3× 414 1.0× 348 0.9× 177 0.8× 75 0.5× 23 1.2k
Yanjun Liu 319 0.8× 415 1.0× 196 0.5× 265 1.1× 95 0.6× 40 1.1k
Suhuan Liu 397 0.9× 536 1.4× 246 0.7× 208 0.9× 278 1.7× 31 1.5k
Alison D. McNeilly 385 0.9× 568 1.4× 279 0.8× 456 1.9× 141 0.9× 43 1.5k
Maria C. Jacques-Silva 357 0.8× 543 1.4× 534 1.5× 170 0.7× 303 1.9× 21 1.7k
Toshihiko Fujiwara 497 1.2× 859 2.2× 327 0.9× 337 1.4× 74 0.5× 21 1.6k
Masaya Hosokawa 602 1.4× 728 1.8× 572 1.6× 309 1.3× 224 1.4× 52 1.7k
Masateru Yamada 479 1.1× 807 2.0× 484 1.3× 303 1.3× 83 0.5× 24 1.8k

Countries citing papers authored by Nathan Rakieten

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Rakieten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Rakieten

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Rakieten. A scholar is included among the top collaborators of Nathan Rakieten 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 Nathan Rakieten. Nathan Rakieten 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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