William S. Denney

34 papers receiving 1.3k citations

William S. Denney's Hit Papers

An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans 2019 · 280 citations
2800+2+4Years since publication50100150200250

Peers

William S. Denney
Comparison fields: 5 of 109
  • Hematology 210
  • Biotechnology 131
  • Internal Medicine 36
  • Endocrine and Autonomic Systems 64
  • Molecular Biology 581
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S. Tam Hong Kong
Patricia L. Fernández Panama
Christiane Rordorf Switzerland
Rudolf Oehler Austria
Pierre Lescuyer Switzerland
Masahiro Ogawa Japan
Sonia Moretti Italy
P. Spangenberg Germany
Robert W. Hardy United States
Marko Poglitsch Austria
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Countries citing papers authored by William S. Denney

Since Specialization
Citations

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

Fields of papers citing papers by William S. Denney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans
Hit paper breakdown →
2019280
2 2010108
3 2008107
4 2021105
5 2020102
6 200970
7 201253
8 200547
9 201646
10 202341
11 201138
12 201536
13 201931
14 200530
15 201729
16 200628
17 202427
18 201426
19 202423
20 201419

About William S. Denney

William S. Denney is a scholar working on Molecular Biology, Surgery, Physiology, Clinical Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Diabetes Treatment and Management (4 papers), Diet and metabolism studies (4 papers), Pancreatic function and diabetes (4 papers), Platelet Disorders and Treatments (4 papers), Migraine and Headache Studies (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Hematology (210 citations), Biotechnology (131 citations), Internal Medicine (36 citations), Endocrine and Autonomic Systems (64 citations) and Molecular Biology (581 citations). William S. Denney has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Scott L. Diamond, Manash Chatterjee, Aoife M. Brennan, Marja Puurunen, Caroline Kurtz, Vincent M. Isabella, Huiyan Jing, Mark R. Charbonneau, David A. Wagner and Jonathan W. Kotula. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, Cancer Research, Clinical and Translational Science and Nature Metabolism.

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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