Masahiro Abe

2.0k citations
118 papers · 1.4k indexed · h-index 20

Masahiro Abe

105 papers receiving 1.4k citations

Peers

Masahiro Abe
Comparison fields: 5 of 118
  • Transplantation 128
  • Infectious Diseases 207
  • Endocrinology 56
  • Physiology 260
  • Immunology 188
Replace Jun Kato with:
Jun Kato Japan
Sherry D. Fleming United States
Eugenio Bertelli Italy
Tom E. Mollnes Norway
G. Bischof Austria
Christof Weinstock Germany
Kathy Frees United States
I Bernard France
Laureline Berthelot France
Takao Okubo Japan
Masahiro Abe relative to Jun Kato Japan Jun Kato's profile →
Citations per field
00.5×1.5×
Jun Kato · 1×
Citations per year

Countries citing papers authored by Masahiro Abe

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masahiro Abe, 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 Abe Line = papers co-authored together Masahiro Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20233
5 202327
6 20232
7 20230
8 20222
9 202217
10 202213
11 20221
12 20213
13 202114
14 20211
15 202024
16 20201
17
Comparison of Video-Assisted Thoracoscopic Surgery and Intrapleural Urokinase as an Initial Treatment for Parapneumonic Effusion and Thoracic Empyema
20141
18 200315
19
Is Stress Myocardial Scintigraphy More Effective Than Fractional Flow Reserve Using Pressure Wire for Deciding Indication for Percutaneous Coronary Intervention
20032
20
The Effect of Pelvic Posterior Inclination associated with Kyphosis upon the Development of Coxarthrosis.
19951

About Masahiro Abe

Masahiro Abe is a scholar working on Transplantation, Infectious Diseases and Chemical Health and Safety, having authored 118 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (26 papers), Fungal Infections and Studies (16 papers), Renal Transplantation Outcomes and Treatments (7 papers), Medical Imaging and Pathology Studies (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Organ Donation and Transplantation (5 papers) and Mycobacterium research and diagnosis (5 papers). The work is most often cited by research in Transplantation (128 citations), Infectious Diseases (207 citations) and Endocrinology (56 citations). Masahiro Abe has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Jun Tateishi, Tetsuyuki Kitamoto, M Suetsugu, Koji Ogomori, Muneyoshi Kimura, Hideki Araoka, Masahito Saitoh, Yong‐Guang Yang, Qi Jin and Akiko Yoneyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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