Michael Nau

511 citations
21 papers · 360 · h-index 11

Impact in

  • Finance top 10%
    • Housing, Finance, and Neoliberalism
  • Accounting top 10%
    • Financial Literacy, Pension, Retirement Analysis

Papers in

Michael Nau

20 papers receiving 345 citations

Peers

Michael Nau
Comparison fields: 5 of 84
  • Finance 80
  • Accounting 71
  • Gender Studies 50
  • Health 32
  • Public Administration 12
Replace Mette Gørtz with:
Mette Gørtz Denmark
Benjamin Sosnaud United States
Frank Vandenbroucke Netherlands
Michael Kpessa-Whyte Ghana
Rebecca Riley United Kingdom
Stacia West United States
Brian Gifford United States
Fabio Bertranou Switzerland
Vincent A. Hildebrand Canada
Tomaz Cajner United States
Michael Nau relative to Mette Gørtz Denmark Mette Gørtz's profile →
Citations per field
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Mette Gørtz · 1×
Citations per year

Countries citing papers authored by Michael Nau

Since Specialization
Citations

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

Fields of papers citing papers by Michael Nau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201953
3 201340
4 201836
5 202329
6 201620
7 200017
8 201716
9 201212
10 201611
11 201711
12 201610
13 200210
14 201910
15 20029
16
Financialization, Wealth and Income Inequality
20114
17 20003
18 20163
19 20082
20 20211

About Michael Nau

Michael Nau is a scholar working on Sociology and Political Science, Finance, Surgery, Economics and Econometrics and Strategy and Management, having authored 21 papers that have together received 360 indexed citations. Recurring topics across this work include Housing, Finance, and Neoliberalism (6 papers), Organ Transplantation Techniques and Outcomes (4 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Fatty Acid Research and Health (2 papers), Healthcare Policy and Management (2 papers), Housing Market and Economics (2 papers), Income, Poverty, and Inequality (2 papers) and Global Health Care Issues (2 papers). The work is most often cited by research in Finance (80 citations), Accounting (71 citations), Gender Studies (50 citations), Health (32 citations) and Public Administration (12 citations). Michael Nau has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Rachel E. Dwyer, Randy Hodson, Dmitry Tumin, Lisa A. Keister, Yue Qian, Jill E. Yavorsky, F. U. Schade, Sascha Flohé, Emilio Domínguez Fernández and Frank Siemers. Their work appears in journals such as Socio-Economic Review, Research in Social Stratification and Mobility, Inflammation Research, JAMA Network Open and Social Currents.

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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