T. Nihei

613 citations
26 papers · 514 indexed · h-index 12

Impact in

Papers in

T. Nihei

26 papers receiving 427 citations

Peers

T. Nihei
Comparison fields: 5 of 81
  • Cell Biology 123
  • Cardiology and Cardiovascular Medicine 166
  • Molecular Biology 329
  • Cellular and Molecular Neuroscience 55
  • Complementary and alternative medicine 18
Replace J. G. Watterson with:
J. G. Watterson Switzerland
D.F. Cain United States
G. B. Chernousova Sweden
Gopal M. Bhatnagar United States
Thomas Schnyder Switzerland
Lynn Maland United States
Klaus Schwerzmann Switzerland
Madeleine A. Kirchberger United States
Alexander J. Murphy United States
M A Kirchberger United States
T. Nihei relative to J. G. Watterson Switzerland J. G. Watterson's profile →
Citations per field
00.5×
J. G. Watterson · 1×
Citations per year

Countries citing papers authored by T. Nihei

Since Specialization
Citations

This map shows the geographic impact of T. Nihei'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 T. Nihei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nihei more than expected).

Fields of papers citing papers by T. Nihei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside T. Nihei, 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 T. Nihei Line = papers co-authored together T. Nihei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Three-dimensional observation of intracellular membranous structures in dog heart muscle cells by scanning electron microscopy.
198616
2 19842
3 19814
4 19814
5 19807
6 19809
7 197723
8 197116
9 19692
10 196914
11 196922
12 19689
13 19673
14 19661
15 19665
16 196612
17 196540
18 196348
19 196211
20 196173

About T. Nihei

T. Nihei is a scholar working on Cell Biology, Cardiology and Cardiovascular Medicine, Forestry, Molecular Biology and Animal Science and Zoology, having authored 26 papers that have together received 514 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (6 papers), Cardiomyopathy and Myosin Studies (6 papers), Enzyme function and inhibition (5 papers), Muscle Physiology and Disorders (5 papers), Ion channel regulation and function (4 papers), Pain Mechanisms and Treatments (2 papers), Biochemical and Molecular Research (2 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Cell Biology (123 citations), Cardiology and Cardiovascular Medicine (166 citations), Molecular Biology (329 citations), Cellular and Molecular Neuroscience (55 citations) and Complementary and alternative medicine (18 citations). T. Nihei has collaborated with scholars based in Canada and United States. Frequent co-authors include Manuel F. Morales, Lafayette Noda, Jean Botts, Robert A. Mendelson, Giulio L. Cantoni, R.J. Rothenberg, E A Sugden, C.M. Kay, D.R. Kominz and Cyril M. Kay. Their work appears in journals such as Journal of Biological Chemistry, Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Experimental Neurology, Proceedings of the National Academy of Sciences and Biophysical Journal.

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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