Steven H. Hinrichs

8.9k citations
139 papers · 6.8k indexed · 3 hit papers · h-index 37

Steven H. Hinrichs

138 papers receiving 6.6k citations

Hit Papers

The HIV tat gene induces dermal lesions resembling Kaposi...4351987202620002013200400600

Peers

Steven H. Hinrichs
Comparison fields: 5 of 162
  • Molecular Medicine 359
  • Infectious Diseases 1.2k
  • Agronomy and Crop Science 624
  • Immunology 1.1k
  • Pharmacology 762
Replace Hsiao‐Sheng Liu with:
Hsiao‐Sheng Liu Taiwan
Marie‐Christine Prévost France
Thomas M. Shinnick United States
Cheng‐Wen Lin Taiwan
Michel Chignard France
Norbert Suttorp Germany
John C. Mathison United States
Makoto Kuroda Japan
Yen‐Hsu Chen Taiwan
Raj Kumar Singh India
Steven H. Hinrichs relative to Hsiao‐Sheng Liu Taiwan Hsiao‐Sheng Liu's profile →
Citations per field
00.5×3.4×
Hsiao‐Sheng Liu · 1×
Citations per year

Countries citing papers authored by Steven H. Hinrichs

Since Specialization
Citations

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

Fields of papers citing papers by Steven H. Hinrichs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2020193
2
Forecasting the Spread of Mosquito-Borne Disease using Publicly Accessible Data: A Case Study in Chikungunya.
20163
3 201266
4 201123
5 200933
6 200926
7 200825
8
Use of Average Mutual Information based Species Signature for Fungal and Mycobacterial Differentiation.
20071
9 200714
10 200626
11 200417
12 2000302
13 19997
14 1997108
15 1997102
16 19969
17 199524
18 199279
19 1989269
20 19881

About Steven H. Hinrichs

Steven H. Hinrichs is a scholar working on Infectious Diseases, Endocrinology and Microbiology, having authored 139 papers that have together received 6.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Bacteriophages and microbial interactions (10 papers), Antifungal resistance and susceptibility (10 papers), Bacterial Genetics and Biotechnology (10 papers), T-cell and Retrovirus Studies (9 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Pesticide Exposure and Toxicity (8 papers) and Animal Disease Management and Epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (359 citations), Infectious Diseases (1.2k citations) and Agronomy and Crop Science (624 citations). Steven H. Hinrichs has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Peter C. Iwen, Gregory D. Jay, Jonathan Vogel, Oksana Lockridge, Michael Nerenberg, George Khoury, Mark E. Rupp, Jin Qian, A. Linn Murphree and William F. Benedict. Their work appears in journals such as Journal of Clinical Microbiology, American Journal of Clinical Pathology, PLoS ONE, Analytical Biochemistry and Molecular Microbiology.

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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