Junko Nishitani

22 total papers · 730 total citations
18 papers, 620 citations indexed

About

Junko Nishitani is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Junko Nishitani has authored 18 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Surgery. Recurrent topics in Junko Nishitani's work include Pancreatic function and diabetes (4 papers), Cancer-related Molecular Pathways (3 papers) and HIV Research and Treatment (3 papers). Junko Nishitani is often cited by papers focused on Pancreatic function and diabetes (4 papers), Cancer-related Molecular Pathways (3 papers) and HIV Research and Treatment (3 papers). Junko Nishitani collaborates with scholars based in United States, Sweden and Canada. Junko Nishitani's co-authors include Andrew B. Leiter, Brenda P. Fung, Hiroyuki Mutoh, Francisco J. Naya, Ming‐Jer Tsai, Jimmy J. Brown, Xudong Tang, Qunzhou Zhang, Anh D. Lê and Shihong Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Junko Nishitani

18 papers receiving 609 citations

Author Peers

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

Author Last Decade Papers Cites
Junko Nishitani 288 159 156 130 109 18 620
Ling Kong 379 1.3× 108 0.7× 54 0.3× 114 0.9× 61 0.6× 28 744
Yutaka Yokogoshi 212 0.7× 108 0.7× 55 0.4× 314 2.4× 95 0.9× 20 668
Julie Dufour 208 0.7× 61 0.4× 285 1.8× 308 2.4× 136 1.2× 28 778
Yao Xin 434 1.5× 85 0.5× 130 0.8× 52 0.4× 60 0.6× 10 768
Jeremy Mauldin 161 0.6× 77 0.5× 203 1.3× 186 1.4× 147 1.3× 19 558
M Hoffman 301 1.0× 180 1.1× 140 0.9× 64 0.5× 35 0.3× 20 619
Bei Wu 301 1.0× 156 1.0× 57 0.4× 92 0.7× 138 1.3× 29 745
K Hioki 236 0.8× 119 0.7× 62 0.4× 88 0.7× 180 1.7× 29 698
John G. Wesseling 288 1.0× 146 0.9× 89 0.6× 89 0.7× 117 1.1× 21 725
Nan Wu 217 0.8× 229 1.4× 34 0.2× 253 1.9× 27 0.2× 24 584

Countries citing papers authored by Junko Nishitani

Since Specialization
Citations

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

Fields of papers citing papers by Junko Nishitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Nishitani

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