Kim Brown

564 citations
35 papers · 365 · h-index 11

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
  • Education top 10%
    • Higher Education Practises and Engagement
    • Service-Learning and Community Engagement
    • Teacher Education and Leadership Studies

Papers in

    • Higher Education Practises and Engagement 6
    • Teacher Education and Leadership Studies 4
    • Reflective Practices in Education 4
    • Higher Education and Employability 4
    • Service-Learning and Community Engagement 4
    • Doctoral Education Challenges and Solutions 4

Kim Brown

32 papers receiving 340 citations

Peers

Kim Brown
Comparison fields: 5 of 94
  • Hepatology 48
  • Education 122
  • Psychiatry and Mental health 45
  • Sensory Systems 12
  • Epidemiology 74
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Citations per field
00.5×5×12×
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Citations per year

Countries citing papers authored by Kim Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kim Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 200958
3 200126
4 201624
5 201520
6 201717
7 200214
8 201812
9 202011
10 201911
11 201710
12 201410
13 20209
14 20169
15 20227
16 20027
17 20177
18 20126
19 20236
20 20166

About Kim Brown

Kim Brown is a scholar working on Education, General Health Professions, Public Health, Environmental and Occupational Health, Developmental and Educational Psychology and Epidemiology, having authored 35 papers that have together received 365 indexed citations. Recurring topics across this work include Higher Education Practises and Engagement (6 papers), Teacher Education and Leadership Studies (4 papers), Reflective Practices in Education (4 papers), Higher Education and Employability (4 papers), Service-Learning and Community Engagement (4 papers), Doctoral Education Challenges and Solutions (4 papers), Educational and Psychological Assessments (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (48 citations), Education (122 citations), Psychiatry and Mental health (45 citations), Sensory Systems (12 citations) and Epidemiology (74 citations). Kim Brown has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include Kerry Shephard, Atsushi Yoshida, Marwan Abouljoud, Dilip Moonka, George Divine, Mary Ann Huang, Marwan Kazimi, Dean Y. Kim, Amanda Ellis and Steven F. Maier. Their work appears in journals such as Pedagogy Culture and Society, Clinical Transplantation, Higher Education Research & Development, British Journal of Clinical Pharmacology and Cambridge Journal of Education.

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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