Keiichi Homma

2.8k citations
70 papers · 1.8k indexed · h-index 25
Topics
RNA and protein synthesis mechanisms (13 papers)Protein Structure and Dynamics (7 papers)Medical Imaging Techniques and Applications (7 papers)

In The Last Decade

Keiichi Homma

65 papers receiving 1.8k citations

Peers

Keiichi Homma
Comparison fields: 5 of 108
  • Molecular Biology 1.0k
  • Cancer Research 230
  • Cell Biology 221
  • Oncology 210
  • Pathology and Forensic Medicine 209
Replace Véronique Fafeur with:
Véronique Fafeur France
Robert J. Ingham Canada
Florian Grebien Austria
Heather M. Brown United States
Clare L. Abram United States
Laura Corbo France
David Tulasne France
Caterina Cinti Italy
Peter Ping Lin United States
Frank McCormick United States
Keiichi Homma relative to Véronique Fafeur France Véronique Fafeur's profile →
Citations per field
00.5×3.1×
Véronique Fafeur · 1×
Citations per year

Countries citing papers authored by Keiichi Homma

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Homma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Homma

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Homma. A scholar is included among the top collaborators of Keiichi Homma 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 Keiichi Homma. Keiichi Homma 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 0
3 7
4 2
5 8
6 34
7 9
8 10
9 23
10 10
11 47
12 13
13 35
14 56
15 2
16 214
17 4
18 146
19 1
20
[Helical CT of the breast: detection of intraductal spread and multicentricity of breast cancer].
7

About Keiichi Homma

Keiichi Homma is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Cancer Research, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), Protein Structure and Dynamics (7 papers) and Medical Imaging Techniques and Applications (7 papers). The work is most often cited by research in Cancer Research (230 citations), Molecular Biology (1.0k citations) and Cell Biology (221 citations). Keiichi Homma has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Ken Nishikawa, Yoshiaki Minezaki, Satoshi Fukuchi, Akira R. Kinjo, Muneaki Sano, Takayoshi Uematsu, J. W. Hastings, Hideaki Sugawara, Kuninori Suzuki and Takashi Gojobori. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

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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