M Kudo

46 papers receiving 529 citations

Peers

M Kudo
Comparison fields: 5 of 90
  • Anesthesiology and Pain Medicine 165
  • Developmental Neuroscience 71
  • Critical Care and Intensive Care Medicine 42
  • Oral Surgery 62
  • Endocrine and Autonomic Systems 45
Replace Mitsutaka Sugimura with:
Mitsutaka Sugimura Japan
Sarla P. Kothary United States
D. W. Blake Australia
Dana S Rohde United States
Guangyou Duan China
Lawrence Poree United States
Thomas E. Macnamara United States
S. Englesson Sweden
W. Klement Germany
Kazuna Sugiyama Japan
M Kudo relative to Mitsutaka Sugimura Japan Mitsutaka Sugimura's profile →
Citations per field
00.5×1.5×2×2.3×
Mitsutaka Sugimura · 1×
Citations per year

Countries citing papers authored by M Kudo

Since Specialization
Citations

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

Fields of papers citing papers by M Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200381
2 199976
3 200567
4 201141
5 197835
6 200533
7 201020
8 200419
9 200518
10 200417
11 199816
12 200316
13 200013
14 197211
15 19729
16 19788
17 19997
18
[Effect of propofol as an agent for anesthetic induction on pituitary-adrenocortical function during anesthesia and surgery].
19987
19 19936
20
[Effects of sevoflurane anesthesia and surgery on plasma catecholamine levels].
19896

About M Kudo

M Kudo is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 568 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (19 papers), Anesthesia and Neurotoxicity Research (13 papers), Cardiac, Anesthesia and Surgical Outcomes (8 papers), Anesthesia and Pain Management (6 papers), Electrolyte and hormonal disorders (4 papers), Sleep and Wakefulness Research (4 papers), Hormonal Regulation and Hypertension (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (165 citations), Developmental Neuroscience (71 citations), Critical Care and Intensive Care Medicine (42 citations), Oral Surgery (62 citations) and Endocrine and Autonomic Systems (45 citations). M Kudo has collaborated with scholars based in Japan, China and United States. Frequent co-authors include A Matsuki, Tsuyoshi Kudo, Kazuyoshi Hirota, Tetsuya Kushikata, Hitoshi Yoshida, Taishi Sakai, Harbhej Singh, Hironori Ishihara, David G. Lambert and Tsutomu Oyama. Their work appears in journals such as British Journal of Anaesthesia, Canadian Journal of Anesthesia/Journal canadien d anesthésie, European Journal of Anaesthesiology, Neuroscience and Scandinavian Journal of Gastroenterology.

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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