Michelle Leech

3.9k citations
90 papers · 3.2k · h-index 31

Impact in

  • Immunology top 1%
    • Macrophage Migration Inhibitory Factor
    • Immune Response and Inflammation
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research

Papers in

Michelle Leech

86 papers receiving 3.1k citations

Peers

Michelle Leech
Comparison fields: 5 of 145
  • Immunology 1.5k
  • Rheumatology 351
  • Cellular and Molecular Neuroscience 432
  • Research and Theory 15
  • Behavioral Neuroscience 56
Replace Margaret Rees with:
Margaret Rees United Kingdom
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Andrew Nicholson United States
Miho Suzuki Japan
Justin C. Konje United Kingdom
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Zahra Goodarzi Canada
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Citations per field
00.5×3.7×
Margaret Rees · 1×
Citations per year

Countries citing papers authored by Michelle Leech

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Leech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006306
2 1999288
3 1998148
4
Macrophage migration inhibitory factor in systemic lupus erythematosus.
2004118
5 2017116
6 2013114
7 2003104
8 2003101
9 201592
10 200690
11 201385
12 200085
13 201681
14 201975
15 200472
16 200365
17 199760
18 200460
19 201857
20 201855

About Michelle Leech

Michelle Leech is a scholar working on Immunology, General Health Professions, Rheumatology, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (20 papers), Interprofessional Education and Collaboration (11 papers), Innovations in Medical Education (10 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Nuclear Receptors and Signaling (6 papers), Immune Response and Inflammation (6 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (1.5k citations), Rheumatology (351 citations), Cellular and Molecular Neuroscience (432 citations), Research and Theory (15 citations) and Behavioral Neuroscience (56 citations). Michelle Leech has collaborated with scholars based in Australia, Canada and New Zealand. Frequent co-authors include Eric F. Morand, Jürgen Bernhagen, Stephen R. Holdsworth, Yuan Yang, Christine N. Metz, Paul Hutchinson, Richard Bucala, Leilani L. Santos, P. Mark Bartold and Derek Lacey. Their work appears in journals such as Immunology and Cell Biology, Annals of the Rheumatic Diseases, Clinical & Experimental Immunology, Medical Education and BMC Medical 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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