Gen Nishimura

13.6k total citations · 3 hit papers
344 papers, 7.1k citations indexed

About

Gen Nishimura is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Gen Nishimura has authored 344 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 209 papers in Genetics, 170 papers in Molecular Biology and 64 papers in Rheumatology. Recurrent topics in Gen Nishimura's work include Connective tissue disorders research (128 papers), Bone health and treatments (48 papers) and Dermatological and Skeletal Disorders (40 papers). Gen Nishimura is often cited by papers focused on Connective tissue disorders research (128 papers), Bone health and treatments (48 papers) and Dermatological and Skeletal Disorders (40 papers). Gen Nishimura collaborates with scholars based in Japan, United States and Germany. Gen Nishimura's co-authors include Shiro Ikegawa, Andrea Superti‐Furga, Sheila Unger, Hirofumi Ohashi, Tsutomu Ogata, Geert Mortier, Ravi Savarirayan, Valérie Cormier‐Daire, Christine M Hall and Matthew L. Warman and has published in prestigious journals such as Nature Medicine, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Gen Nishimura

333 papers receiving 6.9k citations

Hit Papers

Nosology and classification of genetic skeletal disorders... 2011 2026 2016 2021 2011 2019 2015 100 200 300 400

Peers

Gen Nishimura
Comparison fields: 5 of 137
  • Genetics 3.7k
  • Molecular Biology 3.6k
  • Rheumatology 1.2k
  • Oncology 828
  • Surgery 781
Replace Deborah Krakow with:
Deborah Krakow United States
Ravi Savarirayan Australia
Ralph S. Lachman United States
Beat Steinmann Switzerland
Jacky Bonaventure France
Jürgen W. Spranger Germany
Sheila Unger Switzerland
Ruth Gershoni‐Baruch Israel
Jan P. Dumanski Sweden
Didier Lacombe France
Deborah Krakow United States View profile →
Citations per field, relative to Gen Nishimura
Gen Nishimura · 1×
Citations per year, relative to Gen Nishimura
Gen Nishimura · 1×

Countries citing papers authored by Gen Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Gen Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Gen Nishimura. A scholar is included among the top collaborators of Gen Nishimura 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 Nishimura. Gen Nishimura 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 1
2 3
3 1
4 1
5 5
6 0
7 11
8 1
9 4
10 10
11 5
12 11
13 11
14 15
15 15
16 6
17 2
18
Nosology and classification of genetic skeletal disorders: 2015 revision breakdown →
367
19 12
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.

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