T Nishino

425 citations
9 papers · 365 indexed · h-index 8

T Nishino

9 papers receiving 352 citations

Peers

T Nishino
Comparison fields: 5 of 56
  • Clinical Biochemistry 173
  • Nephrology 69
  • Endocrinology, Diabetes and Metabolism 128
  • Immunology 60
  • Neurology 20
Replace Ryotaro Ando with:
Ryotaro Ando Japan
Ling Jie Wang China
Akane Kizu Japan
M. Haneda Japan
Kenichi Koga Japan
Rosanna Coppo Italy
Hai-Ying Qi China
C Hasslacher Germany
Birgit Hausknecht Germany
PA Summanen Australia
T Nishino relative to Ryotaro Ando Japan Ryotaro Ando's profile →
Citations per field
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Ryotaro Ando · 1×
Citations per year

Countries citing papers authored by T Nishino

Since Specialization
Citations

This map shows the geographic impact of T Nishino'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 T Nishino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nishino more than expected).

Fields of papers citing papers by T Nishino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 20248
2 200111
3 200118
4
Glomerular hypertrophy in preeclamptic patients with focal segmental glomerulosclerosis. A morphometric analysis.
199919
5 199715
6 19967
7
Clinical and morphological predictors of renal outcome in adult patients with focal and segmental glomerulosclerosis (FSGS).
199617
8
[The clinico-pathological significance of hematuria in diabetics].
199412
9
Immunohistochemical localization of advanced glycosylation end products in coronary atheroma and cardiac tissue in diabetes mellitus.
1993258

About T Nishino

T Nishino is a scholar working on Nephrology, Obstetrics and Gynecology, Rheumatology, Clinical Biochemistry and Immunology, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Systemic Lupus Erythematosus Research (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Pregnancy and preeclampsia studies (2 papers), Systemic Sclerosis and Related Diseases (2 papers), Glycosylation and Glycoproteins Research (1 paper), Reproductive System and Pregnancy (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Clinical Biochemistry (173 citations), Nephrology (69 citations), Endocrinology, Diabetes and Metabolism (128 citations), Immunology (60 citations) and Neurology (20 citations). T Nishino has collaborated with scholars based in Japan. Frequent co-authors include Kazuhiro Dohi, Hideo Shiiki, Yuko Horii, Helen Vlassara, Yoshiyuki Nakamura, Yasuhiro Sakaguchi, Richard Bucala, Tadashi Kagoshima, Zenji Makita and Masayuki Iwano. Their work appears in journals such as Clinical & Experimental Immunology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of the American Society of Nephrology, Annals of the Rheumatic Diseases and Lupus.

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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