M. Udo

3.3k citations
55 papers · 2.3k indexed · h-index 29

M. Udo

54 papers receiving 2.0k citations

Peers

M. Udo
Comparison fields: 5 of 112
  • Neurology 944
  • Endocrine and Autonomic Systems 487
  • Sensory Systems 306
  • Orthopedics and Sports Medicine 533
  • Complementary and alternative medicine 449
Replace P. Rudomín with:
P. Rudomín Mexico
V. C. Abrahams Canada
Pierre Paul Vidal France
R. A. Westerman Australia
E.D. Schomburg Germany
Vito Enrico Pettorossi Italy
P Bessou France
I. Engberg Sweden
Dan R. Kenshalo United States
I. B. Kozlovskaya Russia
M. Udo relative to P. Rudomín Mexico P. Rudomín's profile →
Citations per field
00.5×4.8×
P. Rudomín · 1×
Citations per year

Countries citing papers authored by M. Udo

Since Specialization
Citations

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

Fields of papers citing papers by M. Udo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199435
2 199337
3 199341
4 1993128
5 19920
6 199241
7 199297
8
1403 RELATIONSHIP BETWEEN VO_2 AND CARDIAC OUTPUT AT THE ONSET OF EXERCISE AND RECOVERY
19911
9
Estimation of energy expenditure during walking and jogging by using an electro-pedometer.
19901
10 199046
11 199025
12 199011
13 198913
14 19896
15 19893
16
Energy consumption during entrainment of heart beat into endurance running pitch
19882
17 198062
18
Proceedings: Contribution of the cerebellum to the neuronal rhythm in locomotion.
19751
19 197231
20 19702

About M. Udo

M. Udo is a scholar working on Neurology, Complementary and alternative medicine, Orthopedics and Sports Medicine, Endocrine and Autonomic Systems and Sensory Systems, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (18 papers), Cardiovascular and exercise physiology (16 papers), Sports Performance and Training (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Heart Rate Variability and Autonomic Control (6 papers), Muscle activation and electromyography studies (5 papers), Muscle metabolism and nutrition (5 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Neurology (944 citations), Endocrine and Autonomic Systems (487 citations), Sensory Systems (306 citations), Orthopedics and Sports Medicine (533 citations) and Complementary and alternative medicine (449 citations). M. Udo has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include N. Kawai, M. Ito, Takayoshi Yoshida, N. Mano, Kanji Matsukawa, Sten Grillner, Kohji Wakayoshi, Yoshiteru Mutoh, H. Hultborn and Masatoshi Yoshida. Their work appears in journals such as Experimental Brain Research, European Journal of Applied Physiology, Neuroscience Research, Brain Research and Journal of Neurophysiology.

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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