Kohichi Kojima

1.7k citations
64 papers · 1.3k indexed · h-index 21

Kohichi Kojima

64 papers receiving 1.3k citations

Peers

Kohichi Kojima
Comparison fields: 5 of 103
  • Molecular Biology 578
  • Cellular and Molecular Neuroscience 564
  • Oncology 263
  • Physiology 176
  • Neurology 134
Replace Gerard M. Lehrer with:
Gerard M. Lehrer United States
Masato Hirata Japan
Patrick Harriott United Kingdom
Maura Calvani Italy
Hyun-Joo Park South Korea
Yi Dong China
Masao Koida Japan
Naomi Niisato Japan
Peter J.R. Bevis United Kingdom
Eileen L. Watson United States
Kohichi Kojima relative to Gerard M. Lehrer United States Gerard M. Lehrer's profile →
Citations per field
00.5×3.8×
Gerard M. Lehrer · 1×
Citations per year

Countries citing papers authored by Kohichi Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Kohichi Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kohichi Kojima

This figure shows the co-authorship network connecting the top 25 collaborators of Kohichi Kojima. A scholar is included among the top collaborators of Kohichi Kojima 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 Kohichi Kojima. Kohichi Kojima 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 7
2 7
3 12
4 4
5
21D-02-5 Background Data of General Toxicological Parameters in CD(SD)IGS
1
6 11
7 1
8 8
9 8
10 12
11 15
12 20
13 70
14 22
15 10
16 36
17 10
18 1
19 26
20
[Physiological and pathological chemistry of X-prolyl dipeptidyl-aminopeptidase (dipeptidyl-aminopeptidase IV)].
2

About Kohichi Kojima

Kohichi Kojima is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Dermatology, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (12 papers), Neuropeptides and Animal Physiology (12 papers) and Biochemical effects in animals (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (564 citations), Periodontics (113 citations) and Clinical Biochemistry (88 citations). Kohichi Kojima has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toshiharu Nagatsu, Makio Mogi, Sidney Udenfriend, Takeshi Kato, Barry Jones, Daniel L. Kilpatrick, Minoru Harada, Shumpei Sakakibara, H Inagaki and Masayasu Minami. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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