Tetsushi Saishoji

863 citations
15 papers · 717 indexed · h-index 11

Tetsushi Saishoji

15 papers receiving 692 citations

Peers

Tetsushi Saishoji
Comparison fields: 5 of 72
  • Hepatology 170
  • Clinical Biochemistry 124
  • Cancer Research 155
  • Immunology and Allergy 50
  • Oncology 206
Replace Usman Yaqoob with:
Usman Yaqoob United States
Norimasa Matsutani Japan
Philipp Stroebel Germany
Gaelle del Castillo Spain
Yelena Mirochnik United States
L.T. Malden Australia
Mahnaz Bonrouhi Germany
Mingming Fang China
Limin Zhai China
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Citations per field
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Citations per year

Countries citing papers authored by Tetsushi Saishoji

Since Specialization
Citations

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

Fields of papers citing papers by Tetsushi Saishoji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20143
2
[Resected case of pulmonary mucormycosis].
20132
3
[Lung resection for lung cancer in patient with situs inversus totalis].
20131
4 200518
5 200256
6 19975
7 199783
8 199671
9 199511
10 199445
11
Immunoreactive hepatocyte growth factor is a strong and independent predictor of recurrence and survival in human breast cancer.
1994253
12 199316
13 199379
14 199332
15
Interleukin 6 stimulates the production of immunoreactive endothelin 1 in human breast cancer cells.
199342

About Tetsushi Saishoji

Tetsushi Saishoji is a scholar working on Clinical Biochemistry, Cancer Research and Immunology and Allergy, having authored 15 papers that have together received 717 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Advanced Glycation End Products research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Cell Adhesion Molecules Research (2 papers), Bone health and treatments (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Hepatology (170 citations), Clinical Biochemistry (124 citations) and Cancer Research (155 citations). Tetsushi Saishoji has collaborated with scholars based in Japan and Finland. Frequent co-authors include Koichi Nomura, J. Yamashita, Michio Ogawa, So-I Shin, Shunichi Yamashita, Seikoh Horiuchi, Takayuki Higashi, Yoshiteru Jinnouchi, Kazuyoshi Ikeda and Hiroyuki Sano. Their work appears in journals such as Cancer, Diabetes and Biochemical and Biophysical Research Communications.

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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