K. Kaita

489 citations
14 papers · 195 · h-index 7

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Diseases and Immunity
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease Diagnosis and Treatment 8
    • Hepatitis B Virus Studies 4
    • Hepatitis C virus research 9
    • Hepatitis Viruses Studies and Epidemiology 3
    • Liver Disease and Transplantation 2

K. Kaita

14 papers receiving 181 citations

Peers

K. Kaita
Comparison fields: 5 of 40
  • Hepatology 161
  • Epidemiology 148
  • Infectious Diseases 31
  • Health 11
  • General Health Professions 24
Replace Jess Howell with:
Jess Howell Australia
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Kyoko Yoshida Japan
Jonathan Schmelzer United States
Cheryl Isenhour United States
Madeline Adee United States
Ann Winters United States
Ilias Gountas Greece
Sarah Hess Switzerland
A. D’Arminio Monforte Italy
K. Kaita relative to Jess Howell Australia Jess Howell's profile →
Citations per field
00.5×
Jess Howell · 1×
Citations per year

Countries citing papers authored by K. Kaita

Since Specialization
Citations

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

Fields of papers citing papers by K. Kaita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200234
2 200233
3 201729
4 201026
5 200821
6 200719
7 20077
8 20086
9 19955
10 20065
11 20073
12 19973
13 19953
14 19951

About K. Kaita

K. Kaita is a scholar working on Epidemiology, Hepatology, Surgery, Rheumatology and Nutrition and Dietetics, having authored 14 papers that have together received 195 indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Hepatitis B Virus Studies (4 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Systemic Lupus Erythematosus Research (2 papers), Clinical Nutrition and Gastroenterology (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (161 citations), Epidemiology (148 citations), Infectious Diseases (31 citations), Health (11 citations) and General Health Professions (24 citations). K. Kaita has collaborated with scholars based in Canada, United States and Croatia. Frequent co-authors include Stephen Moses, Gerald Y. Minuk, G. Y. Minuk, GY Minuk, John G. McHutchison, Julia D. Rempel, Siu Ling Wong, Eberhard L. Renner, Shuke Liu and Julia Uhanova. Their work appears in journals such as Journal of Hepatology, Canadian Journal of Gastroenterology and Hepatology, Canadian Journal of Public Health, Canadian Journal of Physiology and Pharmacology and Transplantation Proceedings.

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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