H. Kurogi

1.4k citations
52 papers · 1.1k · h-index 18

Impact in

Papers in

H. Kurogi

51 papers receiving 1.0k citations

Peers

H. Kurogi
Comparison fields: 5 of 52
  • Infectious Diseases 787
  • Ecology, Evolution, Behavior and Systematics 785
  • Agronomy and Crop Science 334
  • Animal Science and Zoology 189
  • Plant Science 266
Replace Tomoyuki Tsuda with:
Tomoyuki Tsuda Japan
T. Omori Japan
Akio Fukusho Japan
W. A. Snowdon Australia
B. J. Erasmus South Africa
W. P. Taylor United Kingdom
Katja V. Goller Germany
Haroldo Toro United States
Seiichi Ohashi Japan
A. L. Dyce Australia
H. Kurogi relative to Tomoyuki Tsuda Japan Tomoyuki Tsuda's profile →
Citations per field
00.5×1.5×
Tomoyuki Tsuda · 1×
Citations per year

Countries citing papers authored by H. Kurogi

Since Specialization
Citations

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

Fields of papers citing papers by H. Kurogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975118
2 1977101
3 197697
4 196988
5 197583
6 198774
7 197741
8 198038
9
Experimental infection of pregnant goats with Akabane virus.
197735
10 196933
11 197330
12 196725
13
Development of inactivated vaccine for Akabane disease.
197825
14
An attenuated strain of Akabane virus: a candidate for live virus vaccine.
197924
15 197623
16 197723
17 197618
18 197418
19
Antibody to rotavirus in various animal species.
197917
20 199416

About H. Kurogi

H. Kurogi is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Agronomy and Crop Science and Genetics, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vector-Borne Animal Diseases (27 papers), Viral gastroenteritis research and epidemiology (17 papers), Viral Infections and Vectors (15 papers), Animal Virus Infections Studies (14 papers), Animal Disease Management and Epidemiology (13 papers), Virus-based gene therapy research (9 papers), T-cell and Retrovirus Studies (7 papers) and Agriculture and Farm Safety (6 papers). The work is most often cited by research in Infectious Diseases (787 citations), Ecology, Evolution, Behavior and Systematics (785 citations), Agronomy and Crop Science (334 citations), Animal Science and Zoology (189 citations) and Plant Science (266 citations). H. Kurogi has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuji Inaba, M. Matumoto, T. Omori, Eiji Takahashi, Koya Sato, K Satoda, Yuhei Goto, Kunihiko Sato, Yasuo Miura and Tuneyoshi Omori. Their work appears in journals such as Archives of Virology, Veterinary Microbiology, Australian Veterinary Journal, Journal of Clinical Microbiology and ACS Chemical Biology.

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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