Tsuyoshi Hatada

1.3k citations
29 papers · 1.0k · h-index 18

Impact in

Papers in

Tsuyoshi Hatada

28 papers receiving 981 citations

Peers

Tsuyoshi Hatada
Comparison fields: 5 of 87
  • Internal Medicine 245
  • Critical Care and Intensive Care Medicine 108
  • Hematology 231
  • Clinical Biochemistry 93
  • Epidemiology 323
Replace Rendrik F. Franco with:
Rendrik F. Franco Brazil
Yasushi Nakamori Japan
Shin Koga Japan
Colin Downey United Kingdom
Verena Schroeder Switzerland
D.P.M. Brandjes Netherlands
Teresa Quiroga Chile
Heinz-Otto Keinecke Germany
A Kübler Poland
Marianne Schoorl Netherlands
Tsuyoshi Hatada relative to Rendrik F. Franco Brazil Rendrik F. Franco's profile →
Citations per field
00.5×3.7×
Rendrik F. Franco · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Hatada

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Hatada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005162
2 2004101
3 200684
4 201080
5 200967
6 200759
7 201157
8 201454
9 201135
10 201033
11 200030
12 201329
13 200426
14 201022
15 200222
16 200521
17 200320
18 199317
19 200514
20 201113

About Tsuyoshi Hatada

Tsuyoshi Hatada is a scholar working on Internal Medicine, Hematology, Epidemiology, Surgery and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (10 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Sepsis Diagnosis and Treatment (7 papers), Enhanced Recovery After Surgery (4 papers), Blood properties and coagulation (3 papers), Nosocomial Infections in ICU (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Cancer, Stress, Anesthesia, and Immune Response (2 papers). The work is most often cited by research in Internal Medicine (245 citations), Critical Care and Intensive Care Medicine (108 citations), Hematology (231 citations), Clinical Biochemistry (93 citations) and Epidemiology (323 citations). Tsuyoshi Hatada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tsutomu Nobori, Hideo Wada, Chikao Miki, Kazuo Maruyama, Masato Kusunoki, Yasunori Abe, Yasuhiro Inoue, Hideo Wada, Norikazu Yamada and Ikuro Maruyama. Their work appears in journals such as Thrombosis and Haemostasis, Thrombosis Research, Shock, Cancer and The American Journal of Surgery.

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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