T Nagasawa

22 total papers · 412 total citations
11 papers, 231 citations indexed

About

T Nagasawa is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, T Nagasawa has authored 11 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in T Nagasawa's work include Platelet Disorders and Treatments (7 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (2 papers). T Nagasawa is often cited by papers focused on Platelet Disorders and Treatments (7 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (2 papers). T Nagasawa collaborates with scholars based in Japan and United States. T Nagasawa's co-authors include Kazuo Todokoro, Hiroshi Nagahisa, Yasunobu Nagata, Toshio Ohnuki, T. Abe, Naomi Ohta, Manabu Shimonishi, A Hiraoka, Shin Shimizu and Atsushi Sugimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

T Nagasawa

11 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
T Nagasawa 113 77 47 33 31 11 231
Isabelle I. Salles‐Crawley 105 0.9× 80 1.0× 73 1.6× 23 0.7× 11 0.4× 14 269
Ciarán J. Mooney 109 1.0× 95 1.2× 66 1.4× 30 0.9× 13 0.4× 8 258
Stephanie Massaro 62 0.5× 78 1.0× 46 1.0× 21 0.6× 22 0.7× 10 210
Fedir N. Kiskin 61 0.5× 96 1.2× 36 0.8× 20 0.6× 25 0.8× 9 206
A. Reichert 89 0.8× 158 2.1× 41 0.9× 54 1.6× 16 0.5× 13 281
D. Marcus 95 0.8× 72 0.9× 103 2.2× 40 1.2× 21 0.7× 10 330
Marie P. Janssen 181 1.6× 74 1.0× 63 1.3× 26 0.8× 13 0.4× 8 326
Nathalie Balayn 254 2.2× 75 1.0× 42 0.9× 122 3.7× 20 0.6× 8 310
Ester Rosenthal 128 1.1× 97 1.3× 109 2.3× 69 2.1× 20 0.6× 13 323
Tina Wiesner 76 0.7× 117 1.5× 125 2.7× 17 0.5× 18 0.6× 8 272

Countries citing papers authored by T Nagasawa

Since Specialization
Citations

This map shows the geographic impact of T Nagasawa'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 T Nagasawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nagasawa more than expected).

Fields of papers citing papers by T Nagasawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Nagasawa

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