K. Numata

460 citations
14 papers · 351 indexed · h-index 10

Impact in

Papers in

K. Numata

14 papers receiving 346 citations

Peers

K. Numata
Comparison fields: 5 of 47
  • Infectious Diseases 320
  • Animal Science and Zoology 166
  • Hepatology 61
  • Cardiology and Cardiovascular Medicine 151
  • Agronomy and Crop Science 27
Replace C Jayavasu with:
C Jayavasu Thailand
J C Bouquety Central African Republic
Beatrice Carlsson Sweden
Setsuko Kitaoka Japan
Mitsuaki Oseto Japan
Jen-Shiou Lin Taiwan
Shima Yoshizumi Japan
I Shif Israel
Jianguang Fu China
Miyabi Ito Japan
K. Numata relative to C Jayavasu Thailand C Jayavasu's profile →
Citations per field
00.5×
C Jayavasu · 1×
Citations per year

Countries citing papers authored by K. Numata

Since Specialization
Citations

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

Fields of papers citing papers by K. Numata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 199761
2 199461
3 199560
4 199853
5 199835
6 199825
7 199615
8 199613
9 199611
10 19949
11
[Cardiac fibroma in an infant: comparison of echocardiographic findings with cardiac rhabdomyoma].
19943
12 19972
13
[Increase in natural killer cells in the peripheral blood lymphocytes in patients with alopecia areata].
19882
14
[Increase in the activated (HLA-DR+) T-cells in the peripheral blood lymphocyte of patients with alopecia areata].
19881

About K. Numata

K. Numata is a scholar working on Infectious Diseases, Hepatology, Urology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 351 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (5 papers), Animal Virus Infections Studies (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Hair Growth and Disorders (2 papers), Soft tissue tumor case studies (1 paper), Child Nutrition and Feeding Issues (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Infectious Diseases (320 citations), Animal Science and Zoology (166 citations), Hepatology (61 citations), Cardiology and Cardiovascular Medicine (151 citations) and Agronomy and Crop Science (27 citations). K. Numata has collaborated with scholars based in Japan, United States and Kenya. Frequent co-authors include Mary K. Estes, Shuji Nakata, S. Chiba, Xi Jiang, M. E. Hardy, David O. Matson, Susumu Ukae, Xi Jiang, Shinjiro Honma and Shunzo Chiba. Their work appears in journals such as Journal of Clinical Microbiology, Archives of Virology, European Journal of Pediatrics, Journal of Medical Virology and Brain and Development.

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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