H. John Smith

24 papers receiving 854 citations

Peers

H. John Smith
Comparison fields: 5 of 120
  • Toxicology 57
  • Gastroenterology 72
  • Endocrine and Autonomic Systems 78
  • Physiology 140
  • Pharmacology 40
Replace Alessandra Zicari with:
Alessandra Zicari Italy
C. Barbieri Brazil
Amanda J. Pickard United States
Minmin Hu China
Md. Jashim Uddin United States
Robson Xavier Faria Brazil
Takao Yamamoto Japan
Wesley M. Raup‐Konsavage United States
Wen‐Liang Zhou China
Monica D. Prakash Australia
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Citations per field
00.5×3.6×
Alessandra Zicari · 1×
Citations per year

Countries citing papers authored by H. John Smith

Since Specialization
Citations

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

Fields of papers citing papers by H. John Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006136
2 2005122
3 2005117
4 200774
5 200267
6 200856
7 201552
8 199841
9 200938
10 200836
11
Proteinase and Peptidase Inhibition: Recent Potential Targets for Drug Development
200730
12 200926
13 200523
14 200719
15
Enzymes and their inhibition : drug development
200518
16 198317
17 200411
18 20095
19 19885
20 20094

About H. John Smith

H. John Smith is a scholar working on Physiology, Surgery, Molecular Biology, Ecology and Oncology, having authored 24 papers that have together received 906 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Wildlife Ecology and Conservation (3 papers), Animal Disease Management and Epidemiology (3 papers), Respiratory Support and Mechanisms (2 papers), Mycobacterium research and diagnosis (2 papers), Neuroscience of respiration and sleep (2 papers), Pain Mechanisms and Treatments (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Toxicology (57 citations), Gastroenterology (72 citations), Endocrine and Autonomic Systems (78 citations), Physiology (140 citations) and Pharmacology (40 citations). H. John Smith has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Matthew S. Mayo, Hywel Williams, Claire Simons, Gregory A. Reed, Debra K. Sullivan, James A. Crowell, Aryeh Hurwitz, Robert A. Weatherly, Julie L. Wei and Prateek Sharma. Their work appears in journals such as Journal of Wildlife Management, Cancer Epidemiology Biomarkers & Prevention, Gastrointestinal Endoscopy, Anti-Cancer Drugs and Cancer Chemotherapy and Pharmacology.

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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