H Shiraki

880 citations
27 papers · 756 indexed · h-index 15

H Shiraki

26 papers receiving 740 citations

Peers

H Shiraki
Comparison fields: 5 of 71
  • Agronomy and Crop Science 248
  • Immunology 350
  • Ecology, Evolution, Behavior and Systematics 229
  • Dermatology 94
  • Infectious Diseases 154
Replace Mutsumi Takahata with:
Mutsumi Takahata Japan
Wenxian Chen China
R Montagna United States
Tim Jackson United States
Youngnam Lee South Korea
Toshihiro Kasama Japan
Justin A. Jarrell United States
Xiaoxing Qiu United States
Hongyan Sui United States
Peter S. Freudenthal United States
H Shiraki relative to Mutsumi Takahata Japan Mutsumi Takahata's profile →
Citations per field
00.5×10.3×
Mutsumi Takahata · 1×
Citations per year

Countries citing papers authored by H Shiraki

Since Specialization
Citations

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

Fields of papers citing papers by H Shiraki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200944
2 200766
3 20047
4 199651
5 199548
6 19944
7 199336
8 19926
9 199217
10 199236
11 199246
12 1991125
13 199159
14 198821
15
The neuropathology of subacute myelo-optico-neuropathy, "SMON", in the humans: --with special reference to the quinoform intoxication.
197512
16 197115
17
[Pseudoulegyric type of hepatocerebral disease].
19714
18
[Neuromyelitis optica (Devic's disease)--relationship to multiple sclerosis].
19701
19
Neuropathology of systemic lupus erythematodes in comparison with rheumatic encephalopathy.
19660
20
[Neuropathological findings of demyelinating encephalomyelitides of unknown etiology in Japan].
19652

About H Shiraki

H Shiraki is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 756 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (10 papers), Animal Disease Management and Epidemiology (9 papers), Vector-Borne Animal Diseases (7 papers), Parvovirus B19 Infection Studies (3 papers), Peripheral Neuropathies and Disorders (2 papers), Dielectric properties of ceramics (2 papers), Multiferroics and related materials (2 papers) and Dermatological and COVID-19 studies (2 papers). The work is most often cited by research in Agronomy and Crop Science (248 citations), Immunology (350 citations) and Ecology, Evolution, Behavior and Systematics (229 citations). H Shiraki has collaborated with scholars based in Japan, Denmark and United Kingdom. Frequent co-authors include Yoshiaki Maeda, Hideki Tozawa, Yuetsu Tanaka, Lingjia Zeng, K. Okochi, Hisatoshi Shida, Hiroyuki Sato, Noriyuki Kuroda, Takashi Saito and Yuichi Shimakawa. Their work appears in journals such as Journal of Virology, The Journal of Immunology, Journal of Clinical Microbiology, Transfusion and Clinical Chemistry.

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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