M. Nishio

748 citations
30 papers · 592 · h-index 14

Impact in

Papers in

M. Nishio

28 papers receiving 576 citations

Peers

M. Nishio
Comparison fields: 5 of 72
  • Internal Medicine 37
  • Parasitology 65
  • Infectious Diseases 126
  • Critical Care and Intensive Care Medicine 28
  • Epidemiology 190
Replace R.J. Slappendel with:
R.J. Slappendel Netherlands
G.C. Troy United States
Klaus Lind Denmark
Chantal Rothschild France
Paul Casanova France
Elham Khatamzas Germany
David J. C. Miles United States
Catherine Ottone France
Youssif M. Ali United Kingdom
T. Sprong Netherlands
M. Nishio relative to R.J. Slappendel Netherlands R.J. Slappendel's profile →
Citations per field
00.5×3.1×
R.J. Slappendel · 1×
Citations per year

Countries citing papers authored by M. Nishio

Since Specialization
Citations

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

Fields of papers citing papers by M. Nishio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199370
2 199455
3 199953
4 200647
5 200541
6 199837
7 199636
8 201632
9 201332
10 199629
11 201322
12 199222
13 201720
14 201616
15 199012
16 199111
17 199010
18 19928
19 19947
20 20206

About M. Nishio

M. Nishio is a scholar working on Epidemiology, Infectious Diseases, Rheumatology, Hematology and Cardiology and Cardiovascular Medicine, having authored 30 papers that have together received 592 indexed citations. Recurring topics across this work include Virology and Viral Diseases (10 papers), Respiratory viral infections research (10 papers), Viral Infections and Vectors (6 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Systemic Lupus Erythematosus Research (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Internal Medicine (37 citations), Parasitology (65 citations), Infectious Diseases (126 citations), Critical Care and Intensive Care Medicine (28 citations) and Epidemiology (190 citations). M. Nishio has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masato Tsurudome, Hiroshi Komada, Jin Tian, Michael R. Liebling, James S. Louie, Gurjit S. Kaeley, Shigeru Kusagawa, Leonard H. Sigal, A. R. Rodriguez and Morihiro Ito. Their work appears in journals such as Journal of General Virology, Arthritis Care & Research, Clinical Rheumatology, Annals of the Rheumatic Diseases and Arthritis & Rheumatology.

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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