Takeshi Sodeyama

2.6k citations
42 papers · 1.7k indexed · 1 hit paper · h-index 13
Topics
Hepatitis B Virus Studies (19 papers)Hepatitis C virus research (19 papers)Liver Disease Diagnosis and Treatment (18 papers)
Partner nations
JapanUnited StatesGreece

In The Last Decade

Takeshi Sodeyama

38 papers receiving 1.7k citations

Hit Papers

Interrelationship of blood transfusion, non-A, non-B hepa...199020262002201419902505007501000

Peers

Takeshi Sodeyama
Comparison fields: 5 of 79
  • Hepatology 1.4k
  • Epidemiology 1.3k
  • Rheumatology 169
  • Infectious Diseases 123
  • Hematology 98
Replace Michiko Shindo with:
Michiko Shindo Japan
Chris Kassianides South Africa
Alexandra L. Gibas United States
Ruth L. Co United States
F. Tremolada Italy
Liang‐Yen Wang Taiwan
Terryl J. Ortego United States
Lisa M. Nyberg United States
F Roudot-Thoraval France
Olle Reichard Sweden
Takeshi Sodeyama relative to Michiko Shindo Japan Michiko Shindo's profile →
Citations per field
00.5×1.5×
Michiko Shindo · 1×
Citations per year

Countries citing papers authored by Takeshi Sodeyama

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Sodeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Sodeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Sodeyama. A scholar is included among the top collaborators of Takeshi Sodeyama 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 Sodeyama. Takeshi Sodeyama 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 1
2 1
3 6
4 13
5 8
6 2
7 2
8 25
9 6
10 260
11 1
12 2
13 0
14 2
15 3
16 1
17
0
18
1
19 1
20 2

About Takeshi Sodeyama

Takeshi Sodeyama is a scholar working on Hepatology, Epidemiology and Hematology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (19 papers), Hepatitis C virus research (19 papers) and Liver Disease Diagnosis and Treatment (18 papers). The work is most often cited by research in Hepatology (1.4k citations), Epidemiology (1.3k citations) and Rheumatology (169 citations). Takeshi Sodeyama has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Kendo Kiyosawa, Seiichi Furuta, Yoshiyuki Nakano, Harvey J. Alter, Robert H. Purcell, Kusuya Nishioka, Eiji Tanaka, Kaname Yoshizawa, Yoshihiro Akahane and Yukio Gibo. Their work appears in journals such as Annals of Internal Medicine, Gastroenterology and Hepatology.

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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