Takeshi Iwamura

2.4k citations
44 papers · 2.0k indexed · h-index 22
Topics
Cell Adhesion Molecules Research (9 papers)Protease and Inhibitor Mechanisms (8 papers)Peptidase Inhibition and Analysis (7 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaOncogene

In The Last Decade

Takeshi Iwamura

42 papers receiving 2.0k citations

Peers

Takeshi Iwamura
Comparison fields: 5 of 109
  • Molecular Biology 1.1k
  • Oncology 697
  • Cancer Research 444
  • Immunology 260
  • Surgery 230
Replace Pran K. Datta with:
Pran K. Datta United States
Anne‐Marie Faussat France
Eileen Friedman United States
Tomoki Yamatsuji Japan
Kosuke Watari Japan
Maurizio Orlandini Italy
Pascal Colosetti France
Yadi Wu United States
Dexing Fang United States
Alicia S. Chung United States
Takeshi Iwamura relative to Pran K. Datta United States Pran K. Datta's profile →
Citations per field
00.5×1.5×
Pran K. Datta · 1×
Citations per year

Countries citing papers authored by Takeshi Iwamura

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Iwamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Iwamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Iwamura. A scholar is included among the top collaborators of Takeshi Iwamura 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 Takeshi Iwamura. Takeshi Iwamura 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 2
2 146
3 0
4 46
5 3
6 7
7 21
8 5
9 64
10 48
11 20
12 17
13 159
14 125
15 7
16 183
17 13
18 14
19 32
20 62

About Takeshi Iwamura

Takeshi Iwamura is a scholar working on Immunology and Allergy, Biotechnology and Cancer Research, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Protease and Inhibitor Mechanisms (8 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Immunology and Allergy (192 citations), Cancer Research (444 citations) and Neurology (214 citations). Takeshi Iwamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Michael A. Hollingsworth, T Katsuki, Thomas M. Gress, Guido Adler, Ann Harris, Colm J. Reid, Michael D. Burdick, Markus M. Lerch, Shoji Taniguchi and André Menke. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Oncogene.

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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