Dan Green

62 papers receiving 1.2k citations

Peers

Dan Green
Comparison fields: 5 of 138
  • Applied Microbiology and Biotechnology 23
  • Finance 77
  • Anesthesiology and Pain Medicine 33
  • Toxicology 22
  • Pulmonary and Respiratory Medicine 194
Replace Eiko Yamamoto with:
Eiko Yamamoto Japan
Guenka Petrova Bulgaria
Francesca Colombo Italy
Thomas J. Hwang United States
Nirmala Bhoo‐Pathy Malaysia
Jeffery Talbert United States
Courtney Davis United Kingdom
Patricia A. Deverka United States
Suja S. Rajan United States
André Ilbawi Switzerland
Dan Green relative to Eiko Yamamoto Japan Eiko Yamamoto's profile →
Citations per field
00.5×8.3×
Eiko Yamamoto · 1×
Citations per year

Countries citing papers authored by Dan Green

Since Specialization
Citations

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

Fields of papers citing papers by Dan Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199995
2 201291
3 201387
4 200473
5 202065
6 200254
7 202052
8 201848
9 199547
10 201947
11 200939
12 202138
13 201433
14 200533
15 200431
16 202330
17 201329
18 201724
19 201821
20 201820

About Dan Green

Dan Green is a scholar working on Clinical Psychology, Finance, Economics and Econometrics, Accounting and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Suicide and Self-Harm Studies (6 papers), Banking stability, regulation, efficiency (5 papers), Clinical Nutrition and Gastroenterology (5 papers), Fiscal Policy and Economic Growth (3 papers), Advanced MRI Techniques and Applications (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Financial Literacy, Pension, Retirement Analysis (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (23 citations), Finance (77 citations), Anesthesiology and Pain Medicine (33 citations), Toxicology (22 citations) and Pulmonary and Respiratory Medicine (194 citations). Dan Green has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Erik Loualiche, Benjamin Roth, Kelvin P. Jordan, Karla Sánchez-Lara, Daniel Motola‐Kuba, Julie Ashworth, Kate M. Dunn, John E. Smialek, Barry Levine and Eucario León‐Rodríguez. Their work appears in journals such as Journal of Clinical Oncology, Journal of School Health, European Journal of Pain, BMJ Open and Journal of Financial Economics.

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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