Tetsuo Kobayashi

2.3k citations
28 papers · 1.8k indexed · h-index 20
  • Aging top 2%
    • Microtubule and mitosis dynamics 9
    • Cellular transport and secretion 6
  • Genetics top 5%
    • Genetic and Kidney Cyst Diseases 14
    • Protist diversity and phylogeny 5
    • Epigenetics and DNA Methylation 4
    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 4
    • Hedgehog Signaling Pathway Studies 3

Tetsuo Kobayashi

28 papers receiving 1.8k citations

Peers

Tetsuo Kobayashi
Comparison fields: 5 of 85
  • Aging 102
  • Cell Biology 580
  • Genetics 678
  • Molecular Biology 1.5k
  • Neurology 49
Replace James Thompson with:
James Thompson United States
Natalia Gomez‐Ospina United States
Eli Arama Israel
Kunsoo Rhee South Korea
Suzanne Vigneron France
Nobuyuki Shiina Japan
Eckhard Kaufmann Germany
Hiroki Inoue Japan
Jian‐Quan Ni China
Ursula Weber United States
Tetsuo Kobayashi relative to James Thompson United States James Thompson's profile →
Citations per field
00.5×3.1×
James Thompson · 1×
Citations per year

Countries citing papers authored by Tetsuo Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20224
3 202023
4 201657
5 2013105
6 2011165
7 201052
8 200922
9 200850
10 20072
11 200728
12 200722
13 200748
14 200794
15 200688
16 2003129
17 200114
18 2000179
19 1999223
20 199728

About Tetsuo Kobayashi

Tetsuo Kobayashi is a scholar working on Aging, Cell Biology and Genetics, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (14 papers), Microtubule and mitosis dynamics (9 papers), Cellular transport and secretion (6 papers), Protist diversity and phylogeny (5 papers), Epigenetics and DNA Methylation (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and Hedgehog Signaling Pathway Studies (3 papers). The work is most often cited by research in Aging (102 citations), Cell Biology (580 citations) and Genetics (678 citations). Tetsuo Kobayashi has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Brian David Dynlacht, Toshiaki Katada, S. Hoshino, Naoyuki Uchida, Ji Li, Shohei Mitani, Manabu Morita, Junko Kyozuka, Ko Shimamoto and Sehyun Kim. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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