Stephen Moore

858 citations
22 papers · 643 · h-index 11

Impact in

Papers in

Stephen Moore

22 papers receiving 618 citations

Peers

Stephen Moore
Comparison fields: 5 of 123
  • Parasitology 202
  • Equine 28
  • Ophthalmology 104
  • Infectious Diseases 185
  • Ecology, Evolution, Behavior and Systematics 84
Replace Nedim C. Buyukmihci with:
Nedim C. Buyukmihci United States
Igal Horowitz Israel
Dalen Agnew United States
Simon J. Girling United Kingdom
Yoichi Inoue Japan
Carmen M. H. Colitz United States
Juliet R. Gionfriddo United States
Claire L. Alexander United Kingdom
James N. Shively United States
Grant Thornton
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Moore

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Moore. 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 Stephen Moore. The network helps show where Stephen Moore may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000143
2 201694
3 201481
4 199968
5 199451
6 201050
7 200727
8 201027
9 199916
10
Technical Report: Update on Lyme Disease Prevention and Control
201215
11 201413
12 201810
13 20219
14 20078
15 20198
16 20167
17
Wagner in Ireland: An Econometric Analysis
20165
18 20194
19 20143
20 20222

About Stephen Moore

Stephen Moore is a scholar working on Infectious Diseases, Parasitology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and General Health Professions, having authored 22 papers that have together received 643 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Vector-borne infectious diseases (4 papers), Vector-Borne Animal Diseases (3 papers), Global Maternal and Child Health (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Mosquito-borne diseases and control (2 papers), Wastewater Treatment and Reuse (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Parasitology (202 citations), Equine (28 citations), Ophthalmology (104 citations), Infectious Diseases (185 citations) and Ecology, Evolution, Behavior and Systematics (84 citations). Stephen Moore has collaborated with scholars based in Ireland, Canada and Australia. Frequent co-authors include R.V. Hoskins, Alison M. Harman, Curtis Russell, Samir N. Patel, Mark P. Nelder, Steven Ross Johnson, Ye Li, P. Keller, Doug Sider and Beate Sander. Their work appears in journals such as Zoonoses and Public Health, JAMA, Brain Research, Genetics in Medicine and European Respiratory Journal.

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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