Masaki Sumi

551 citations
29 papers · 396 indexed · h-index 12
Topics
Tuberculosis Research and Epidemiology (5 papers)Infectious Diseases and Tuberculosis (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
Partner nations
JapanIndia

In The Last Decade

Masaki Sumi

27 papers receiving 374 citations

Peers

Masaki Sumi
Comparison fields: 5 of 80
  • Infectious Diseases 94
  • Epidemiology 75
  • Civil and Structural Engineering 73
  • Cardiology and Cardiovascular Medicine 62
  • Surgery 62
Replace Te‐yuan Chyou with:
Te‐yuan Chyou New Zealand
MuhammadShahzad Shamim Pakistan
Shogo Fujita Japan
R. Schosser Germany
Reid Rubsamen United States
Hiroshi Ueyama Japan
Le Zhang China
Stephen F. Levinson United States
Liyan Yin China
Dan Waisman Israel
Masaki Sumi relative to Te‐yuan Chyou New Zealand Te‐yuan Chyou's profile →
Citations per field
00.5×10.4×
Te‐yuan Chyou · 1×
Citations per year

Countries citing papers authored by Masaki Sumi

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Sumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Sumi

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Sumi. A scholar is included among the top collaborators of Masaki Sumi 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 Masaki Sumi. Masaki Sumi 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
#WorkIndexed citations
1 7
2 8
3 24
4 6
5 3
6 1
7 12
8 0
9 39
10 23
11 21
12 14
13
A dot-immunobinding assay (dot-Iba) for rapid diagnosis of pulmonary tuberculosis.
1
14 9
15 8
16 13
17
The magnetocardiogram in right ventricular overloading.
1
18
STUDIES ON T WAVES OF MAGNETOCARDIOGRAM IN ANGINA PECTORIS : Electrocardiography (III) : FREE COMMUNICATIONS (IV) : PROCEEDINGS OF THE 49th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY
2
19 25
20 28

About Masaki Sumi

Masaki Sumi is a scholar working on Transplantation, Infectious Diseases and Pharmacology, having authored 29 papers that have together received 396 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Infectious Diseases and Tuberculosis (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Infectious Diseases (94 citations), Transplantation (12 citations) and Microbiology (22 citations). Masaki Sumi has collaborated with scholars based in Japan and India. Frequent co-authors include Yukio ISHIDA, Tsuyoshi INOUE, V. V. Radhakrishnan, Annamma Mathai, Hiroyoshi Mori, Masaru Murakami, Yutaka Nakaya, Kazuya Fujino, Kyoko Saito and Hiroki Konishi. Their work appears in journals such as Journal of Clinical Microbiology, Atherosclerosis and Journal of Pharmacy and Pharmacology.

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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