Helen Simpson

6.0k citations
80 papers · 2.9k · h-index 27

Impact in

Papers in

Helen Simpson

75 papers receiving 2.7k citations

Peers

Helen Simpson
Comparison fields: 5 of 158
  • Obstetrics and Gynecology 505
  • Endocrinology, Diabetes and Metabolism 648
  • Economics and Econometrics 854
  • General Economics, Econometrics and Finance 211
  • Strategy and Management 302
Replace Eleanor Sanderson with:
Eleanor Sanderson United Kingdom
Ming Lü China
Jan de Haan Netherlands
Thomas Russell United States
George S. Benson United States
Michael Klein Austria
Rao Ps India
Nisar Ahmad Oman
Theo Papaioannou Greece
Gerard Burke Ireland
Helen Simpson relative to Eleanor Sanderson United Kingdom Eleanor Sanderson's profile →
Citations per field
00.5×10.3×
Eleanor Sanderson · 1×
Citations per year

Countries citing papers authored by Helen Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Helen Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008341
2 2006269
3 2007238
4 2003157
5 2003149
6 2007148
7 201194
8 202082
9 200980
10 200278
11 200477
12 201074
13 199373
14 201764
15 200652
16 201152
17 199846
18 200946
19 201940
20 202040

About Helen Simpson

Helen Simpson is a scholar working on Endocrinology, Diabetes and Metabolism, Economics and Econometrics, Surgery, Molecular Biology and Epidemiology, having authored 80 papers that have together received 2.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Regional Economics and Spatial Analysis (12 papers), Pituitary Gland Disorders and Treatments (10 papers), Firm Innovation and Growth (10 papers), Economic Growth and Productivity (8 papers), Global trade and economics (6 papers), Pancreatic function and diabetes (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Obstetrics and Gynecology (505 citations), Endocrinology, Diabetes and Metabolism (648 citations), Economics and Econometrics (854 citations), General Economics, Econometrics and Finance (211 citations) and Strategy and Management (302 citations). Helen Simpson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Rachel Griffith, Michael Devereux, Laura Abramovsky, Nicola Heslehurst, Carolyn Summerbell, John Wilkinson, Louisa Ells, Rupert Harrison, P H Sönksen and Richard I. G. Holt. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Growth Hormone & IGF Research, Scientific Reports and Endocrine Connections.

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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