Toshihide Kobayashi

14.8k citations
234 papers · 11.7k indexed · 4 hit papers · h-index 55
Topics
Lipid Membrane Structure and Behavior (122 papers)Sphingolipid Metabolism and Signaling (61 papers)Cellular transport and secretion (45 papers)
Partner nations
JapanFranceUnited States

In The Last Decade

Toshihide Kobayashi

230 papers receiving 11.6k citations

Hit Papers

A lipid associated with the antiphospholipid syndrome reg...19982026200720161998199920162004200400600

Peers

Toshihide Kobayashi
Comparison fields: 5 of 150
  • Molecular Biology 8.3k
  • Cell Biology 3.0k
  • Physiology 2.1k
  • Immunology 1.5k
  • Surgery 804
Replace Timothy E. McGraw with:
Timothy E. McGraw United States
Suresh Subramani United States
Paul Verkade United Kingdom
Jan W. Slot Netherlands
Fuyuhiko Inagaki Japan
Marco Y. Hein Germany
Ilya Levental United States
Gerrit van Meer Netherlands
John Bergeron Canada
Roberto Sitia Italy
Toshihide Kobayashi relative to Timothy E. McGraw United States Timothy E. McGraw's profile →
Citations per field
00.5×1.5×
Timothy E. McGraw · 1×
Citations per year

Countries citing papers authored by Toshihide Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Toshihide Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihide Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihide Kobayashi. A scholar is included among the top collaborators of Toshihide Kobayashi 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 Toshihide Kobayashi. Toshihide Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 2
5 9
6 22
7 54
8 202
9 8
10 257
11 45
12 121
13 34
14 1
15 156
16 2
17 21
18 82
19 65
20 216

About Toshihide Kobayashi

Toshihide Kobayashi is a scholar working on Cell Biology, Molecular Biology and Physiology, having authored 234 papers that have together received 11.7k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (122 papers), Sphingolipid Metabolism and Signaling (61 papers) and Cellular transport and secretion (45 papers). The work is most often cited by research in Cell Biology (3.0k citations), Molecular Biology (8.3k citations) and Physiology (386 citations). Toshihide Kobayashi has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Jean Grüenberg, Robert G. Parton, Asami Makino, Françoise Hullin‐Matsuda, Motohide Murate, Philippe de Moerloose, Espen Stang, Reiko Ishitsuka, Tomoko Koumura and Masato Umeda. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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