Phil Cotton

1.4k total citations
9 papers, 209 citations indexed

About

Phil Cotton is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Psychiatry and Mental health. According to data from OpenAlex, Phil Cotton has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in General Health Professions and 3 papers in Psychiatry and Mental health. Recurrent topics in Phil Cotton's work include Innovations in Medical Education (8 papers), Interprofessional Education and Collaboration (4 papers) and Empathy and Medical Education (3 papers). Phil Cotton is often cited by papers focused on Innovations in Medical Education (8 papers), Interprofessional Education and Collaboration (4 papers) and Empathy and Medical Education (3 papers). Phil Cotton collaborates with scholars based in United Kingdom, Rwanda and Denmark. Phil Cotton's co-authors include John Goldie, Al Dowie, Jillian Morrison, Jill Morrison, Vincent K. Cubaka, Per Kallestrup, Laetitia Nyirazinyoye, Helle Terkildsen Maindal, Kevin W. Eva and Lynne Lohfeld and has published in prestigious journals such as Medical Education, Medical Teacher and BMC Medical Education.

In The Last Decade

Phil Cotton

9 papers receiving 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Phil Cotton United Kingdom	5	148	91	65	44	31	9	209
Elisha Wan Ying Chia Singapore	8	147 1.0×	57 0.6×	70 1.1×	21 0.5×	31 1.0×	9	195
Molly Blackley Jackson United States	7	179 1.2×	86 0.9×	43 0.7×	64 1.5×	27 0.9×	12	242
Chong Yao Ho Singapore	8	180 1.2×	108 1.2×	56 0.9×	13 0.3×	29 0.9×	10	225
Dale Sheehan New Zealand	10	208 1.4×	107 1.2×	29 0.4×	41 0.9×	72 2.3×	28	286
Peter Weissmann United States	5	311 2.1×	180 2.0×	185 2.8×	101 2.3×	41 1.3×	9	397
Tyra Fainstad United States	9	143 1.0×	129 1.4×	21 0.3×	36 0.8×	22 0.7×	21	262
Jyoti Nath Modi India	8	221 1.5×	67 0.7×	56 0.9×	111 2.5×	43 1.4×	22	282
Hongmei Dong United States	10	125 0.8×	54 0.6×	36 0.6×	34 0.8×	31 1.0×	19	220
Irene A. Slootweg Netherlands	9	157 1.1×	138 1.5×	17 0.3×	56 1.3×	35 1.1×	20	257
J. A. A. M. van Diemen-Steenvoorde Netherlands	5	241 1.6×	94 1.0×	68 1.0×	91 2.1×	87 2.8×	8	326

Countries citing papers authored by Phil Cotton

Since Specialization

Citations

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

Fields of papers citing papers by Phil Cotton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phil Cotton

This figure shows the co-authorship network connecting the top 25 collaborators of Phil Cotton. A scholar is included among the top collaborators of Phil Cotton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phil Cotton. Phil Cotton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Cubaka, Vincent K., et al.. (2018). ‘He should feel your pain’: Patient insights on patient–provider communication in Rwanda. African Journal of Primary Health Care & Family Medicine. 10(1). e1–e11. 21 indexed citations

2.

Goldie, John, et al.. (2015). What makes a good clinical student and teacher? An exploratory study. BMC Medical Education. 15(1). 40–40. 44 indexed citations

3.

Cubaka, Vincent K., et al.. (2015). Lessons from the field: Transforming health professionals’ education in Rwanda – Contributions from Social and Community Medicine. 2(1). 93–93. 1 indexed citations

4.

Cubaka, Vincent K., et al.. (2015). The desired Rwandan health care provider: development and delivery of undergraduate social and community medicine training. Education for Primary Care. 26(5). 343–348. 2 indexed citations

5.

Goldie, John, et al.. (2014). The influence of structural and institutional change on teaching and culture in clinical settings: An exploratory study. Medical Teacher. 37(2). 189–195. 1 indexed citations

6.

Lohfeld, Lynne, John Goldie, Lisa Schwartz, et al.. (2012). Testing the validity of a scenario-based questionnaire to assess the ethical sensitivity of undergraduate medical students. Medical Teacher. 34(8). 635–642. 12 indexed citations

7.

Cotton, Phil, et al.. (2009). ‘Can you take a student this morning?’ Maximising effective teaching by practice nurses. Medical Education. 43(5). 426–433. 7 indexed citations

8.

Goldie, John, Al Dowie, Phil Cotton, & Jillian Morrison. (2007). Teaching professionalism in the early years of a medical curriculum: a qualitative study. Medical Education. 41(6). 610–617. 120 indexed citations

9.

Cotton, Phil & Jill Morrison. (2004). What the educators are saying. BMJ. 328(7455). 1547–1547. 1 indexed citations

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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