William S. Denney

34 papers receiving 1.4k 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 · 290 citations
2900+2+4Years since publication50100150200250

Peers

William S. Denney
Comparison fields: 5 of 107
  • Hematology 187
  • Biotechnology 135
  • Endocrine and Autonomic Systems 60
  • Internal Medicine 26
  • Clinical Biochemistry 53
Replace Patricia L. Fernández with:
Patricia L. Fernández Panama
Rudolf Oehler Austria
Liyong Chen China
S Sułkowski Poland
Hongwei Li China
Yoshihiko Ikeda Japan
Giusi Irma Forte Italy
Daniel Gotthardt Germany
Robert W. Hardy United States
Sonia Moretti Italy
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Citations per field
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Citations per year

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 36 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 →
2019290
2 2021113
3 2010112
4 2008108
5 2020107
6 200971
7 201255
8 200548
9 202347
10 201646
11 201139
12 201536
13 202435
14 201934
15 201732
16 200530
17 200628
18 201427
19 202424
20 201419

About William S. Denney

William S. Denney is a scholar working on Molecular Biology, Surgery, Clinical Biochemistry, Hematology and Physiology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (5 papers), Platelet Disorders and Treatments (4 papers), Diabetes Treatment and Management (4 papers), Diet and metabolism studies (4 papers), Migraine and Headache Studies (3 papers), Pancreatic function and diabetes (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Hematology (187 citations), Biotechnology (135 citations), Endocrine and Autonomic Systems (60 citations), Internal Medicine (26 citations) and Clinical Biochemistry (53 citations). William S. Denney has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Scott L. Diamond, Manash Chatterjee, Aoife M. Brennan, Caroline Kurtz, Marja Puurunen, Mark R. Charbonneau, Huiyan Jing, Vincent M. Isabella, David A. Wagner and Jonathan W. Kotula. Their work appears in journals such as Blood, British Journal of Clinical Pharmacology, Nature Metabolism, Cancer Research and Clinical and Translational Science.

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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