Masahiro Shin

2.5k citations
30 papers · 1.6k indexed · 1 hit paper · h-index 18

Masahiro Shin

28 papers receiving 1.5k citations

Hit Papers

Reverse Genetic Screening Reveals Poor Correlation betwee...5582014202620182022100200300400500

Peers

Masahiro Shin
Comparison fields: 5 of 97
  • Cell Biology 547
  • Aging 40
  • Molecular Biology 1.2k
  • Business and International Management 22
  • Cellular and Molecular Neuroscience 142
Replace Matthew Gemberling with:
Matthew Gemberling United States
Fatma O. Kok United States
Maura McGrail United States
Li-En Jao United States
Kris Vleminckx Belgium
Anne Harrington United States
Kai Ove Skaftnesmo Norway
Ann S. Grosse United States
Andreas van Impel Germany
Kehkooi Kee China
Masahiro Shin relative to Matthew Gemberling United States Matthew Gemberling's profile →
Citations per field
00.5×1.7×
Matthew Gemberling · 1×
Citations per year

Countries citing papers authored by Masahiro Shin

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masahiro Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masahiro Shin Line = papers co-authored together Masahiro Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 202311
5 202138
6 20214
7 202128
8 202067
9 201932
10 201813
11 201737
12 201385
13 201127
14 200816
15 200817
16 200768
17 200619
18 200611
19 200515
20 20032

About Masahiro Shin

Masahiro Shin is a scholar working on Aging, Cell Biology, Molecular Biology, Hematology and Virology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Congenital heart defects research (6 papers), CRISPR and Genetic Engineering (6 papers), Lymphatic System and Diseases (5 papers), Fibroblast Growth Factor Research (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cell Biology (547 citations), Aging (40 citations), Molecular Biology (1.2k citations), Business and International Management (22 citations) and Cellular and Molecular Neuroscience (142 citations). Masahiro Shin has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Nathan D. Lawson, Ira Male, Fatma O. Kok, Scot A. Wolfe, Guojun Sheng, Ankit Gupta, Hiroki Nagai, Ann S. Grosse, Lihua Julie Zhu and Christer Betsholtz. Their work appears in journals such as Development, Developmental Cell, eLife, Developmental Dynamics and Blood.

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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