Toshihiro Haba

1.4k citations
43 papers · 1.0k indexed · h-index 15
Topics
Lipoproteins and Cardiovascular Health (17 papers)Cancer, Lipids, and Metabolism (11 papers)Cholesterol and Lipid Metabolism (8 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Toshihiro Haba

38 papers receiving 966 citations

Peers

Toshihiro Haba
Comparison fields: 5 of 78
  • Surgery 563
  • Endocrinology, Diabetes and Metabolism 309
  • Molecular Biology 248
  • Cancer Research 204
  • Cardiology and Cardiovascular Medicine 183
Replace Takemi Akahane with:
Takemi Akahane Japan
Éric Frisdal France
D J Falcone United States
Lydia M. Petrovic United States
José Hermida Spain
J. Vermylen Belgium
Carlos M. Rodríguez‐Ortigosa Spain
Arlène K. van Vliet Netherlands
Dieter Jüngst Germany
Norihisa Nishimura Japan
Toshihiro Haba relative to Takemi Akahane Japan Takemi Akahane's profile →
Citations per field
00.5×1.5×2.0×
Takemi Akahane · 1×
Citations per year

Countries citing papers authored by Toshihiro Haba

Since Specialization
Citations

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

Fields of papers citing papers by Toshihiro Haba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiro Haba

This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiro Haba. A scholar is included among the top collaborators of Toshihiro Haba 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 Toshihiro Haba. Toshihiro Haba 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 3
2 1
3 0
4 0
5 0
6 21
7 1
8
Nasal Natural Killer/T (NK/T) Cell Lymphoma with Aspergillosis and Herpetic Stomatitis : Report of a Case
1
9 14
10 6
11 15
12 3
13 2
14 8
15 4
16 27
17 3
18 4
19 85
20 1

About Toshihiro Haba

Toshihiro Haba is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (17 papers), Cancer, Lipids, and Metabolism (11 papers) and Cholesterol and Lipid Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (309 citations), Cancer Research (204 citations) and Surgery (563 citations). Toshihiro Haba has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroshi Mabuchi, Susumu Miyamoto, Ralph B. Dell, M.K. Williamson, W.S.S. Jee, Paul A. Price, Junji Koizumi, Kosei Ueda, Ryosei Ueda and Tomio KAMETANI. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Circulation.

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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