Gen Ishikawa

568 total citations
24 papers, 421 citations indexed

About

Gen Ishikawa is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Gen Ishikawa has authored 24 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Plant Science. Recurrent topics in Gen Ishikawa's work include DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Hepatitis B Virus Studies (3 papers). Gen Ishikawa is often cited by papers focused on DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Hepatitis B Virus Studies (3 papers). Gen Ishikawa collaborates with scholars based in Japan, United States and Armenia. Gen Ishikawa's co-authors include Yoshiaki Ohashi, Kenjiro Kami, Hajime Sato, Hiroyuki Yamamoto, Tamaki Fujimori, Sei‐ichi Manabe, S Sekiguchi, Kaoru Takeuchi, Tatsuo Miyamura and Jun Tateishi and has published in prestigious journals such as Nucleic Acids Research, Annals of Neurology and Biochemical Journal.

In The Last Decade

Gen Ishikawa

22 papers receiving 395 citations

Peers

Gen Ishikawa
Comparison fields: 5 of 104
  • Molecular Biology 221
  • Epidemiology 62
  • Hepatology 50
  • Physiology 45
  • Infectious Diseases 40
Replace Jiaxin Zhang with:
Jiaxin Zhang China
Junfang Zhang China
Jinsheng Wang China
Weihong Wang China
Cristina Ortiz Spain
H Koch Germany
Lijin Zeng China
Ian M. Cartwright United States
Anita Gupta India
Bin Jiang China
Jiaxin Zhang China View profile →
Citations per field, relative to Gen Ishikawa
Gen Ishikawa · 1×
Citations per year, relative to Gen Ishikawa
Gen Ishikawa · 1×

Countries citing papers authored by Gen Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Gen Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Ishikawa. A scholar is included among the top collaborators of Gen Ishikawa 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 Gen Ishikawa. Gen Ishikawa 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
# Work Indexed citations
1 2
2 3
3 108
4
Statistical hypothesis test of factor loading in principal component analysis and its application to metabolite set enrichment analysis
1
5
A new co-dominant PCR-based marker to identify the high-molecular-weight glutenin subunit combination 5+10 of common wheat
10
6 16
7 6
8 5
9 19
10
The improvement of impact properties of hybrid CFRP with amorphous carbon fiber
1
11 11
12 6
13 17
14 25
15
Usefulness of a virus removal filter BMM to remove stroma from hemoglobin solutions.
1
16 9
17 62
18 8
19 22
20 23

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026