Michael Sampson

6.7k citations
35 papers · 1.0k · h-index 15

Impact in

Papers in

Michael Sampson

35 papers receiving 982 citations

Peers

Michael Sampson
Comparison fields: 5 of 116
  • Reproductive Medicine 118
  • Endocrinology, Diabetes and Metabolism 215
  • Obstetrics and Gynecology 64
  • Biochemistry 52
  • General Economics, Econometrics and Finance 64
Replace Marlon E. Cerf with:
Marlon E. Cerf South Africa
Patricia K. Eagon United States
Mehmood Khan United States
Kristine G. Wicklund United States
Carine Biessy France
Jianling Du China
Hamit Yaşar Elli̇dağ Türkiye
JoAnn E. Manson United States
Teik Chye Ooi Canada
Ronald M. Krauss United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Sampson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Sampson, 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 Michael Sampson Line = papers co-authored together Michael Sampson 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 1993153
2 2002148
3 1996146
4 200392
5 201783
6
Output Growth, the Real Wage, and Employment Fluctuations
199171
7 199246
8 200037
9 202037
10 201836
11 200032
12 200130
13 199129
14 199016
15 201715
16 202212
17 202010
18 202210
19 20197
20 20227

About Michael Sampson

Michael Sampson is a scholar working on Economics and Econometrics, Finance, Endocrinology, Diabetes and Metabolism, Molecular Biology and General Economics, Econometrics and Finance, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (4 papers), Complex Systems and Time Series Analysis (3 papers), Diabetes Management and Research (2 papers), Diabetes Treatment and Management (2 papers), Economic theories and models (2 papers), Diabetes Management and Education (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Reproductive Medicine (118 citations), Endocrinology, Diabetes and Metabolism (215 citations), Obstetrics and Gynecology (64 citations), Biochemistry (52 citations) and General Economics, Econometrics and Finance (64 citations). Michael Sampson has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include I. R. Davies, David A. Hughes, Zvi Hercowitz, Martin Carrier, N.K. Gopaul, Anita Patel, Robert J. Unwin, Chiew H. Kong, Howard S. Jacobs and Paul Drury. Their work appears in journals such as Diabetes Care, BMJ Open Diabetes Research & Care, Journal of the American Statistical Association, Journal of Business and Economic Statistics and International Journal of Forecasting.

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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