Hsin‐I Shih

2.0k citations
71 papers · 1.6k · h-index 22

Impact in

Papers in

Hsin‐I Shih

68 papers receiving 1.6k citations

Peers

Hsin‐I Shih
Comparison fields: 5 of 125
  • Molecular Medicine 229
  • Endocrinology 210
  • Applied Microbiology and Biotechnology 75
  • Infectious Diseases 376
  • Clinical Biochemistry 115
Replace Johannes Hübner with:
Johannes Hübner Germany
A. Rekha Murthy United States
Avi Peretz Israel
Benito José Regueiro Spain
Constantinos Tsioutis Cyprus
Cindy Shuan Ju Teh Malaysia
Baek-Nam Kim South Korea
Evelyn Shaw Spain
J. Salomon France
Robin T. McKenzie United States
Hsin‐I Shih relative to Johannes Hübner Germany Johannes Hübner's profile →
Citations per field
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Johannes Hübner · 1×
Citations per year

Countries citing papers authored by Hsin‐I Shih

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐I Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐I Shih. 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 Hsin‐I Shih. The network helps show where Hsin‐I Shih may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007184
2 2006104
3
Clinical significance of potential contaminants in blood cultures among patients in a medical center.
2007101
4 200481
5
Predominance of Gram-negative bacilli and increasing antimicrobial resistance in nosocomial bloodstream infections at a university hospital in southern Taiwan, 1996-2003.
200675
6 202075
7 200757
8 201553
9 200746
10 201246
11 201546
12 201743
13 201637
14 201635
15
Extraintestinal focal infections in adults with Salmonella enterica serotype Choleraesuis bacteremia.
200731
16 201531
17 201230
18 201330
19 200927
20 200624

About Hsin‐I Shih

Hsin‐I Shih is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Clinical Biochemistry and Emergency Medicine, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Antifungal resistance and susceptibility (7 papers), Viral Infections and Vectors (5 papers), Malaria Research and Control (5 papers), Aquaculture disease management and microbiota (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Neonatal and fetal brain pathology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Molecular Medicine (229 citations), Endocrinology (210 citations), Applied Microbiology and Biotechnology (75 citations), Infectious Diseases (376 citations) and Clinical Biochemistry (115 citations). Hsin‐I Shih has collaborated with scholars based in Taiwan, Japan and Canada. Frequent co-authors include Wen‐Chien Ko, Chia‐Ming Chang, Chi‐Jung Wu, Nan–Yao Lee, Hsin‐Chun Lee, Nai‐Ying Ko, Yi‐Fang Tu, Chia‐Yu Chi, Chi-Jung Wu and Hsiang‐Chin Hsu. Their work appears in journals such as PLoS neglected tropical diseases, Journal of Microbiology Immunology and Infection, PLoS ONE, Medicine and Epidemiology and Infection.

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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