Takeshi Haneda

1.3k citations
33 papers · 1.1k indexed · h-index 17
Topics
Salmonella and Campylobacter epidemiology (17 papers)Escherichia coli research studies (14 papers)Vibrio bacteria research studies (12 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Takeshi Haneda

32 papers receiving 1.1k citations

Peers

Takeshi Haneda
Comparison fields: 5 of 90
  • Food Science 512
  • Molecular Biology 355
  • Endocrinology 343
  • Infectious Diseases 284
  • Immunology 227
Replace Tamding Wangdi with:
Tamding Wangdi United States
Christina S. Faherty United States
Naomi Higa Japan
Médéric Diard Switzerland
Doris L. LaRock United States
Tamas Dolowschiak Switzerland
Wendy P. Loomis United States
Stephanie Schüller United Kingdom
Takashi Hamabata Japan
Alexander E. Hromockyj United States
Takeshi Haneda relative to Tamding Wangdi United States Tamding Wangdi's profile →
Citations per field
00.5×1.5×1.9×
Tamding Wangdi · 1×
Citations per year

Countries citing papers authored by Takeshi Haneda

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Haneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Haneda

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Haneda. A scholar is included among the top collaborators of Takeshi Haneda 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 Takeshi Haneda. Takeshi Haneda 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
#WorkIndexed citations
1 0
2 4
3 2
4 2
5 2
6 6
7 17
8 12
9 26
10 163
11 16
12 34
13 80
14 19
15 12
16 43
17 39
18 130
19 59
20 6

About Takeshi Haneda

Takeshi Haneda is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (17 papers), Escherichia coli research studies (14 papers) and Vibrio bacteria research studies (12 papers). The work is most often cited by research in Endocrinology (343 citations), Food Science (512 citations) and Molecular Medicine (93 citations). Takeshi Haneda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Nobuhiko Okada, Hirofumi Danbara, Andreas J. Bäumler, Tsuyoshi Miki, Renée M. Tsolis, Ivan Godinez, Tatiane A. Paíxão, Manuela Raffatellu, Renato L. Santos and Charles Bevins. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

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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