M. Sudo

997 citations
39 papers · 876 · h-index 16

Impact in

    • Metabolism and Genetic Disorders
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research
    • Influenza Virus Research Studies

Papers in

M. Sudo

37 papers receiving 831 citations

Peers

M. Sudo
Comparison fields: 5 of 89
  • Clinical Biochemistry 109
  • Epidemiology 284
  • Biochemistry 61
  • Virology 33
  • Immunology 137
Replace Jacques P. M. Schellens with:
Jacques P. M. Schellens Netherlands
P. K. Sehajpal India
Goutam Ghosh-Choudhury United States
Marie-Paule Nivez France
Payal Mehta United States
Annette Uittenbogaard United States
Shoichiro Kameoka Japan
M C de Beer United States
Peter Joller Switzerland
J. Onorato Italy
M. Sudo relative to Jacques P. M. Schellens Netherlands Jacques P. M. Schellens's profile →
Citations per field
00.5×1.7×
Jacques P. M. Schellens · 1×
Citations per year

Countries citing papers authored by M. Sudo

Since Specialization
Citations

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

Fields of papers citing papers by M. Sudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995161
2 1984142
3 1988138
4 199645
5 199427
6 199326
7 199724
8 199521
9 198120
10 200319
11 199419
12 199719
13 199317
14 198316
15 199416
16 199315
17 199213
18 199412
19 199412
20 198511

About M. Sudo

M. Sudo is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health, having authored 39 papers that have together received 876 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Mitochondrial Function and Pathology (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Neonatal Health and Biochemistry (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Neonatal Respiratory Health Research (3 papers) and Biotin and Related Studies (2 papers). The work is most often cited by research in Clinical Biochemistry (109 citations), Epidemiology (284 citations), Biochemistry (61 citations), Virology (33 citations) and Immunology (137 citations). M. Sudo has collaborated with scholars based in Japan, Kenya and Brazil. Frequent co-authors include Yoshiharu Kikawa, Kunihiko Fukuchi, Meihan Nonoyama, Akiko Tanaka, Takayuki Komatsu, Yoshio Kimura, K Nakakuki, Kenji Takeuchi, I. Mori and Masahiro Hiraoka. Their work appears in journals such as Journal of Inherited Metabolic Disease, Acta Paediatrica, Scandinavian Journal of Clinical and Laboratory Investigation, Journal of Virology and Biochemical and Biophysical Research Communications.

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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