K. Kidoguchi

473 citations
20 papers · 370 · h-index 10

Impact in

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Hemoglobinopathies and Related Disorders 5

K. Kidoguchi

19 papers receiving 344 citations

Peers

K. Kidoguchi
Comparison fields: 5 of 60
  • Genetics 118
  • Obstetrics and Gynecology 69
  • Hematology 93
  • Physiology 149
  • Small Animals 33
Replace T. E. Parry with:
T. E. Parry United Kingdom
П. Ф. Пигнатти Italy
Mariacaterina Maconi Italy
Judith Evans United Kingdom
J Masopust Czechia
Moshe Zilberstein United States
Daiana Vota Argentina
Meytal Liberman Israel
Alessandro Fiorentini Italy
Mohd Faizal Ahmad Malaysia
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Citations per field
00.5×6.9×
T. E. Parry · 1×
Citations per year

Countries citing papers authored by K. Kidoguchi

Since Specialization
Citations

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

Fields of papers citing papers by K. Kidoguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199669
2 197867
3
The influence of age and health status on the serum alpha 1-acid glycoprotein level of conventional and specific pathogen-free pigs.
199357
4 199840
5 197937
6 197819
7 199716
8 199713
9 198612
10 197911
11 19817
12 19956
13 19954
14 19993
15
[Correlation of placental villous immaturity and dysmaturity with clinical control of maternal diabetes].
19913
16 19982
17 19992
18 20131
19
[The relationship between ophthalmoscopic changes and classification of toxemia in toxemia of pregnancy].
19901
20
[Hemolytic disease of the newborn due to anti-Kidd Jka sensitization during pregnancy].
19890

About K. Kidoguchi

K. Kidoguchi is a scholar working on Immunology, Genetics, Rheumatology, Hematology and Pediatrics, Perinatology and Child Health, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (5 papers), Systemic Lupus Erythematosus Research (5 papers), Pregnancy and preeclampsia studies (4 papers), T-cell and B-cell Immunology (4 papers), Iron Metabolism and Disorders (3 papers), Immune Cell Function and Interaction (3 papers), Blood groups and transfusion (3 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Genetics (118 citations), Obstetrics and Gynecology (69 citations), Hematology (93 citations), Physiology (149 citations) and Small Animals (33 citations). K. Kidoguchi has collaborated with scholars based in Japan and United States. Frequent co-authors include Makio Ogawa, Tomio Fujita, J.D. Karam, Hiroshi Itoh, Masaaki IZUMI, Keiji Tamura, Yoshiko MOTOI, Y. Funayama, Toshihiko Shirai and Sachiko Miyagawa. Their work appears in journals such as Obstetrics and Gynecology, Lupus, American Journal of Perinatology, Blood and Journal of Clinical Investigation.

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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