Catherine M. Smith

2.3k citations
73 papers · 1.6k · h-index 18

Impact in

Papers in

    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 6
    • Pneumonia and Respiratory Infections 5
    • Data-Driven Disease Surveillance 4
    • Tuberculosis Research and Epidemiology 10

Catherine M. Smith

71 papers receiving 1.4k citations

Peers

Catherine M. Smith
Comparison fields: 5 of 156
  • Applied Microbiology and Biotechnology 47
  • Statistics and Probability 181
  • Reproductive Medicine 149
  • Infectious Diseases 196
  • Developmental and Educational Psychology 136
Replace Rochelle E Watkins with:
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Citations per field
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Citations per year

Countries citing papers authored by Catherine M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Catherine M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995229
2 1981192
3 2019162
4 1962125
5 197297
6 201452
7 200346
8 200446
9 201546
10 196842
11 202239
12 201736
13 202035
14 196534
15 201728
16 201625
17 200924
18 202018
19 201717
20 201917

About Catherine M. Smith

Catherine M. Smith is a scholar working on Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology, Pathology and Forensic Medicine and General Health Professions, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Influenza Virus Research Studies (6 papers), Respiratory viral infections research (6 papers), Multiple Sclerosis Research Studies (5 papers), Pneumonia and Respiratory Infections (5 papers), Data-Driven Disease Surveillance (4 papers), Antibiotic Use and Resistance (4 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (47 citations), Statistics and Probability (181 citations), Reproductive Medicine (149 citations), Infectious Diseases (196 citations) and Developmental and Educational Psychology (136 citations). Catherine M. Smith has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Martha Kirkpatrick, Houcan Zhang, Jianjun Zhu, Kevin F. Miller, Andrew C Hayward, D. P. Cuthbertson, William J. Tilstone, M G Dunnigan, G. S. Fell and Sabine P. Haase. Their work appears in journals such as Wellcome Open Research, Physical Therapy Reviews, Disability and Rehabilitation, Eurosurveillance and British journal of surgery.

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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