William R. Strohl

8.6k citations
109 papers · 6.2k indexed · 1 hit paper · h-index 38

Impact in

Papers in

William R. Strohl

107 papers receiving 5.9k citations

Hit Papers

Adeno-Associated Virus (AAV) as a Vector for Gene Therapy 2017 · 942 citations
9422017202620202023250500750

Peers

William R. Strohl
Comparison fields: 5 of 152
  • Pharmacology 1.1k
  • Biotechnology 524
  • Molecular Biology 3.9k
  • Radiology, Nuclear Medicine and Imaging 1.0k
  • Genetics 956
Replace Robert H. Schiestl with:
Robert H. Schiestl United States
Reinhard Krämer Germany
Kenichi Suzuki Japan
Shuji Takahashi Japan
Markus Kaiser Germany
Daniel L. Gustafson United States
Peggy L. Olive Canada
Marten Veenhuis Netherlands
P Andrews United Kingdom
Leona D. Samson United States
William R. Strohl relative to Robert H. Schiestl United States Robert H. Schiestl's profile →
Citations per field
00.5×1.5×1.8×
Robert H. Schiestl · 1×
Citations per year

Countries citing papers authored by William R. Strohl

Since Specialization
Citations

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

Fields of papers citing papers by William R. Strohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William R. Strohl. 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 William R. Strohl. The network helps show where William R. Strohl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202228
4 2021118
5 201921
6 201518
7 2015343
8 20157
9 201425
10 201171
11 200928
12 200975
13 200710
14 200033
15 1992437
16 199216
17 199116
18 198813
19 19872
20 198738

About William R. Strohl

William R. Strohl is a scholar working on Biotechnology, Pharmacology, Microbiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 109 papers that have together received 6.2k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (22 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), RNA and protein synthesis mechanisms (10 papers), Enzyme Production and Characterization (10 papers), Glycosylation and Glycoproteins Research (9 papers), Genomics and Phylogenetic Studies (8 papers) and Protein purification and stability (7 papers). The work is most often cited by research in Pharmacology (1.1k citations), Biotechnology (524 citations), Molecular Biology (3.9k citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Genetics (956 citations). William R. Strohl has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include G W Luli, Michael Naso, William L. Perry, Brian Tomkowicz, John M. Larkin, M L Dickens, Nigel D. Priestley, Neal Connors, Randall J. Brezski and Vineet Rajgarhia. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology, Archives of Microbiology, Canadian Journal of Microbiology and BioDrugs.

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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