Michael Nau

556 citations
22 papers · 403 · h-index 11

Impact in

  • Finance top 5%
    • Housing, Finance, and Neoliberalism
  • Accounting top 10%
    • Financial Literacy, Pension, Retirement Analysis

Papers in

    • Housing, Finance, and Neoliberalism 6
    • Financial Literacy, Pension, Retirement Analysis 3

Michael Nau

20 papers receiving 380 citations

Peers

Michael Nau
Comparison fields: 5 of 82
  • Finance 85
  • Accounting 73
  • Gender Studies 46
  • Public Administration 13
  • Demography 42
Replace Silvia Borzutzky with:
Silvia Borzutzky United States
Mette Gørtz Denmark
Camila Arza Argentina
Benjamin Sosnaud United States
Platon Tinios Greece
Michael Kpessa-Whyte Ghana
Gemma Tetlow United Kingdom
Brian Gifford United States
Howard Oxley Sweden
C. Eugene Steuerle United States
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Citations per field
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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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201566
2 201955
3 201347
4 202339
5 201838
6 201623
7 201721
8 200019
9 201616
10 201213
11 201713
12 200211
13 201610
14 201910
15 20029
16
Financialization, Wealth and Income Inequality
20113
17 20163
18 20003
19 20082
20
Killing for the Dharma: An Analysis of the Shugden Deity and Violence in Tibetan Buddhism
20071

About Michael Nau

Michael Nau is a scholar working on Finance, Accounting, Sociology and Political Science, Strategy and Management and Health, having authored 22 papers that have together received 403 indexed citations. Recurring topics across this work include Housing, Finance, and Neoliberalism (6 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Immune Response and Inflammation (3 papers), Healthcare Policy and Management (2 papers), Housing Market and Economics (2 papers), Political Influence and Corporate Strategies (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Finance (85 citations), Accounting (73 citations), Gender Studies (46 citations), Public Administration (13 citations) and Demography (42 citations). Michael Nau has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Randy Hodson, Rachel E. Dwyer, Dmitry Tumin, Lisa A. Keister, Jill E. Yavorsky, Yue Qian, Frank Siemers, Fritz Ulrich Schade, Emilio Domínguez Fernández and Sascha Flohé. Their work appears in journals such as Socio-Economic Review, Research in Social Stratification and Mobility, Social movement studies, Social Currents and JAMA Network Open.

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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