Shoko Onodera

877 total citations
45 papers, 652 citations indexed

About

Shoko Onodera is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Shoko Onodera has authored 45 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Physiology. Recurrent topics in Shoko Onodera's work include Hedgehog Signaling Pathway Studies (10 papers), Pluripotent Stem Cells Research (7 papers) and Tumors and Oncological Cases (5 papers). Shoko Onodera is often cited by papers focused on Hedgehog Signaling Pathway Studies (10 papers), Pluripotent Stem Cells Research (7 papers) and Tumors and Oncological Cases (5 papers). Shoko Onodera collaborates with scholars based in Japan, United States and India. Shoko Onodera's co-authors include Toshifumi Azuma, Akiko Saito, Kantaro Suzuki, Tomonori Matsuno, Kiyoshi Kaneda, Takahiko Shibahara, Jun Nishihira, Michihiro Takagi, Hiroshi Kato and Toshifumi Azuma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Shoko Onodera

42 papers receiving 642 citations

Peers

Shoko Onodera
Comparison fields: 5 of 82
  • Molecular Biology 319
  • Immunology 189
  • Surgery 76
  • Genetics 73
  • Genetics 66
Replace Lei Xiang with:
Lei Xiang China
Leanne Glover United Kingdom
Aline Yen Ling Wang Taiwan
Fei Pei China
Raffi Manoukian United States
Janusz Krawczyk Ireland
Abdul S. Qadir South Korea
Dilyana Todorova China
Kristian Nihlberg Sweden
Scot D. Liu United States
Lei Xiang China View profile →
Citations per field, relative to Shoko Onodera
Shoko Onodera · 1×
Citations per year, relative to Shoko Onodera
Shoko Onodera · 1×

Countries citing papers authored by Shoko Onodera

Since Specialization
Citations

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

Fields of papers citing papers by Shoko Onodera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoko Onodera

This figure shows the co-authorship network connecting the top 25 collaborators of Shoko Onodera. A scholar is included among the top collaborators of Shoko Onodera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shoko Onodera. Shoko Onodera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 1
4 0
5 9
6 3
7 10
8 2
9 1
10 2
11 8
12 18
13 0
14 14
15 53
16 34
17 21
18 109
19
[A case of allergic granulomatous prostatitis].
1
20
[Case of renal tubular acidosis seen in a 14-year old girl with Sjögren's syndrome].
1

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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