Mark Forrest

22 papers receiving 258 citations

Peers

Mark Forrest
Comparison fields: 5 of 73
  • Anesthesiology and Pain Medicine 17
  • Statistics, Probability and Uncertainty 13
  • Urology 8
  • Obstetrics and Gynecology 9
  • Pediatrics, Perinatology and Child Health 23
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Javier Soto Spain
Ting‐Ying Huang United States
Daniela R. Junqueira Canada
Paula Corabian Canada
Behnam Baghianimoghadam Iran
Jane Candlish United Kingdom
Russell Slack United Kingdom
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Jeffrey S. Berger United States
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Citations per year

Countries citing papers authored by Mark Forrest

Since Specialization
Citations

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

Fields of papers citing papers by Mark Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198675
2 198929
3 201826
4 202025
5 201922
6 201522
7 202311
8 201711
9 20197
10 20185
11 20114
12 20173
13 19973
14 20223
15 20203
16 20213
17 20073
18 20153
19
[Misuse of statistics. If neither SD nor SE--what then?].
19872
20 19982

About Mark Forrest

Mark Forrest is a scholar working on Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Physiology, Rheumatology and Oral Surgery, having authored 23 papers that have together received 264 indexed citations. Recurring topics across this work include Reproductive Health and Contraception (3 papers), Simulation-Based Education in Healthcare (2 papers), Gallbladder and Bile Duct Disorders (2 papers), Oral and Maxillofacial Pathology (2 papers), Hemophilia Treatment and Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (17 citations), Statistics, Probability and Uncertainty (13 citations), Urology (8 citations), Obstetrics and Gynecology (9 citations) and Pediatrics, Perinatology and Child Health (23 citations). Mark Forrest has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Bjørn Andersen, Seonaidh Cotton, John Norrie, Alison McDonald, Kathryn N. Porter Starr, Gladys McPherson, Graeme MacLennan, Kirsty McCormack, Siladitya Bhattacharya and Karen Innes. Their work appears in journals such as Trials, BMJ Open, Health Technology Assessment, The Journal of the American Dental Association and BMJ Quality & Safety.

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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