Michael Nau
Impact in
- Finance top 10%
- Housing, Finance, and Neoliberalism
- Accounting top 10%
- Financial Literacy, Pension, Retirement Analysis
Papers in
-
- Income, Poverty, and Inequality 2
- Finance 6
- Housing, Finance, and Neoliberalism 6
- Co-authors
- Rachel E. Dwyer (2 shared papers)Randy Hodson (2 shared papers)Dmitry Tumin (4 shared papers)Jill E. Yavorsky (1 shared paper)Yue Qian (1 shared paper)Lisa A. Keister (1 shared paper)Emilio Domínguez Fernández (4 shared papers)Sascha Flohé (4 shared papers)
- Journals
- Socio-Economic Review (2 papers)Research in Social Stratification and Mobility (2 papers)Economy and Society (1 paper)Social Forces (1 paper)Inflammation Research (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael Nau
20 papers receiving 375 citations
Peers
Comparison fields: 5 of 82
- Finance 86
- Accounting 73
- Gender Studies 48
- Public Administration 13
- Demography 42
Countries citing papers authored by Michael Nau
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
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.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2019 | 55 | |
| 3 | 2013 | 46 | |
| 4 | 2018 | 37 | |
| 5 | 2023 | 33 | |
| 6 | 2016 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2000 | 19 | |
| 9 | 2016 | 16 | |
| 10 | 2012 | 13 | |
| 11 | 2017 | 12 | |
| 12 | 2002 | 11 | |
| 13 | 2016 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2002 | 9 | |
| 16 | Financialization, Wealth and Income Inequality | 2011 | 4 |
| 17 | 2000 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2008 | 2 | |
| 20 | Killing for the Dharma: An Analysis of the Shugden Deity and Violence in Tibetan Buddhism | 2007 | 1 |
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 22 papers that have together received 394 indexed citations. Recurring topics across this work include Housing, Finance, and Neoliberalism (6 papers), Financial Literacy, Pension, Retirement Analysis (3 papers), Immune Response and Inflammation (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Fatty Acid Research and Health (2 papers), Gender, Labor, and Family Dynamics (2 papers), Income, Poverty, and Inequality (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Finance (86 citations), Accounting (73 citations), Gender Studies (48 citations), Public Administration (13 citations) and Demography (42 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, Jill E. Yavorsky, Yue Qian, Lisa A. Keister, Emilio Domínguez Fernández, Sascha Flohé, F. U. Schade and Frank Siemers. Their work appears in journals such as Socio-Economic Review, Research in Social Stratification and Mobility, Economy and Society, Social Forces and Inflammation Research.
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.