Emma Simpson

42 papers receiving 1.5k citations

Peers

Emma Simpson
Comparison fields: 5 of 128
  • Anesthesiology and Pain Medicine 155
  • Internal Medicine 52
  • Rheumatology 189
  • General Health Professions 263
  • Hematology 101
Replace Anke Bergmann with:
Anke Bergmann Brazil
Janet L. Abrahm United States
Ragnhild Sørum Falk Norway
Jamie H. Von Roenn United States
Geoff McColl Australia
Marianna Koczywas United States
Mark Frydenberg Australia
Michela Cinquini Italy
Ahmet Akyol Türkiye
Paul F. Ridgway Ireland
Emma Simpson relative to Anke Bergmann Brazil Anke Bergmann's profile →
Citations per field
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Anke Bergmann · 1×
Citations per year

Countries citing papers authored by Emma Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Emma Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002233
2 2009161
3 2007144
4 2016116
5 2009103
6 201091
7 202089
8 201275
9 200764
10 201159
11 201950
12 200949
13 201735
14 200931
15 201428
16 201627
17 200924
18 201220
19 201419
20 201818

About Emma Simpson

Emma Simpson is a scholar working on Surgery, Rheumatology, Pulmonary and Respiratory Medicine, Economics and Econometrics and General Health Professions, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Peripheral Artery Disease Management (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Treatment and Pharmacology (3 papers), Mental Health and Patient Involvement (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (155 citations), Internal Medicine (52 citations), Rheumatology (189 citations), General Health Professions (263 citations) and Hematology (101 citations). Emma Simpson has collaborated with scholars based in United Kingdom, France and Poland. Frequent co-authors include Allan House, A Rees, Sarah Davis, Matt Stevenson, Diana Papaioannou, Sue Ward, Daniel Hind, J. Chilcott, Paul Tappenden and John Stevens. Their work appears in journals such as Health Technology Assessment, PharmacoEconomics, British journal of surgery, Value in Health and Journal of Infection.

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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