Hitoshi Ueda

3.4k citations
57 papers · 3.1k · h-index 28

Impact in

Papers in

Hitoshi Ueda

56 papers receiving 3.0k citations

Peers

Hitoshi Ueda
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 988
  • Aging 82
  • Genetics 1.1k
  • Insect Science 363
  • Molecular Biology 2.0k
Replace François Karch with:
François Karch Switzerland
И. Ф. Жимулев Russia
Ruth Steward United States
Robert Levis United States
Steven Russell United Kingdom
Kent G. Golic United States
William H. Petri United States
Kenneth C. Burtis United States
Eric Fyrberg United States
Frank A. Laski United States
Hitoshi Ueda relative to François Karch Switzerland François Karch's profile →
Citations per field
00.5×1.5×
François Karch · 1×
Citations per year

Countries citing papers authored by Hitoshi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987376
2 1991278
3 1992183
4 1990178
5 2000137
6 1992123
7 1997109
8 2003107
9 1998102
10 1994102
11 199188
12 200886
13 199483
14 199677
15 200367
16 199166
17 199466
18 199065
19 199762
20 201553

About Hitoshi Ueda

Hitoshi Ueda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Biomaterials and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Genomics and Chromatin Dynamics (15 papers), RNA Research and Splicing (13 papers), Silk-based biomaterials and applications (11 papers), Insect Resistance and Genetics (10 papers), Developmental Biology and Gene Regulation (8 papers), Animal Behavior and Reproduction (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (988 citations), Aging (82 citations), Genetics (1.1k citations), Insect Science (363 citations) and Molecular Biology (2.0k citations). Hitoshi Ueda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Susumu Hirose, Carl Wu, Takehide Murata, G Lavorgna, Joachim Clos, Ken‐Ichi Takemaru, Igor B. Dawid, Susan E. Wilson, Vincenzo Zimarino and Barbara Walker. Their work appears in journals such as Molecular and Cellular Biology, Development Growth & Differentiation, Genes to Cells, Developmental Biology and Genes & Development.

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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