Peter Haan

256 papers receiving 6.5k citations

Peers

Peter Haan
Comparison fields: 5 of 187
  • Endocrinology 726
  • Biotechnology 548
  • Plant Science 2.2k
  • Gender Studies 514
  • Renewable Energy, Sustainability and the Environment 639
Replace Gang Liu with:
Gang Liu China
Ling Zhang China
Jong‐Chul Park South Korea
Stephen Morse United Kingdom
Helen Onyeaka United Kingdom
Peter W. Gething United Kingdom
John D. Nelson United States
David B. Marx United States
Mingshu Wang China
Björn Olsén Sweden
Peter Haan relative to Gang Liu China Gang Liu's profile →
Citations per field
00.5×10×15×18.9×
Gang Liu · 1×
Citations per year

Countries citing papers authored by Peter Haan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Haan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 280 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007250
2 1990243
3 1991224
4 1988191
5 2002174
6 2003154
7 1993154
8 2004146
9 2009145
10 2010128
11 1999126
12 1997125
13 2011123
14 1992118
15 1991109
16 199992
17 200991
18 200687
19 200685
20 200584

About Peter Haan

Peter Haan is a scholar working on Economics and Econometrics, Gender Studies, General Health Professions, Demography and Plant Science, having authored 280 papers that have together received 7.0k indexed citations. Recurring topics across this work include Gender, Labor, and Family Dynamics (48 papers), Retirement, Disability, and Employment (38 papers), Plant Virus Research Studies (35 papers), Fiscal Policy and Economic Growth (23 papers), Energy, Environment, and Transportation Policies (23 papers), Financial Literacy, Pension, Retirement Analysis (22 papers), Global Health Care Issues (21 papers) and Vehicle emissions and performance (21 papers). The work is most often cited by research in Endocrinology (726 citations), Biotechnology (548 citations), Plant Science (2.2k citations), Gender Studies (514 citations) and Renewable Energy, Sustainability and the Environment (639 citations). Peter Haan has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Rob Goldbach, Cor J. Kalkman, D. Peters, Roland W. Scholz, Marcel Prins, Richard Kormelink, Michael J. Jacobs, Michel G. Mueller, Bastien Girod and Katharina Wrohlich. Their work appears in journals such as Journal of General Virology, Contact Dermatitis, Anesthesiology, Labour Economics and The Journal of the Economics of Ageing.

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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