T. Gotow

1.1k citations
15 papers · 873 indexed · h-index 13

Impact in

Papers in

T. Gotow

15 papers receiving 846 citations

Peers

T. Gotow
Comparison fields: 5 of 92
  • Cell Biology 270
  • Cellular and Molecular Neuroscience 262
  • Neurology 115
  • Nephrology 69
  • Developmental Neuroscience 31
Replace Neena B. Haider with:
Neena B. Haider United States
Christina Bark Sweden
Larry R. Karns United States
Guillermo López‐Doménech United Kingdom
Minzhong Yu United States
Steven J. Samuelsson United States
Zofia M. Lasiecka United States
Zhoufeng Chen United States
Alessandro Iannaccone United States
Yonatan Perez Israel
T. Gotow relative to Neena B. Haider United States Neena B. Haider's profile →
Citations per field
00.5×1.5×2.4×
Neena B. Haider · 1×
Citations per year

Countries citing papers authored by T. Gotow

Since Specialization
Citations

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

Fields of papers citing papers by T. Gotow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1986171
2 1999128
3 2008108
4 199179
5 199466
6 200063
7 199855
8 200049
9 200149
10 199627
11 200327
12
Macromolecular structure of reassembled neurofilaments as revealed by the quick-freeze deep-etch mica method: difference between NF-M and NF-H subunits in their ability to form cross-bridges.
199225
13 199515
14 19898
15 19913

About T. Gotow

T. Gotow is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Urology, Nephrology and Molecular Biology, having authored 15 papers that have together received 873 indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), Cellular transport and secretion (3 papers), Cellular Mechanics and Interactions (2 papers), RNA Interference and Gene Delivery (2 papers), Cell death mechanisms and regulation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Aluminum toxicity and tolerance in plants and animals (1 paper). The work is most often cited by research in Cell Biology (270 citations), Cellular and Molecular Neuroscience (262 citations), Neurology (115 citations), Nephrology (69 citations) and Developmental Neuroscience (31 citations). T. Gotow has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Constantino Sotelo, Marion Wassef, Yasuo Uchiyama, Junya Tanaka, Paulo H. Hashimoto, J.F. Leterrier, Katsuyuki Miyaguchi, Masahiro Shibata, Kyoko Isahara and Eiki Kominami. Their work appears in journals such as Neuroscience, Gerontology, Journal of Neurocytology, The Journal of Comparative Neurology and Journal of Bioenergetics and Biomembranes.

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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