Maja Wiest

496 total citations
18 papers, 322 citations indexed

About

Maja Wiest is a scholar working on Neuropsychology and Physiological Psychology, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Maja Wiest has authored 18 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neuropsychology and Physiological Psychology, 8 papers in Social Psychology and 6 papers in Sociology and Political Science. Recurrent topics in Maja Wiest's work include Aging and Gerontology Research (11 papers), Psychological Well-being and Life Satisfaction (8 papers) and Health disparities and outcomes (5 papers). Maja Wiest is often cited by papers focused on Aging and Gerontology Research (11 papers), Psychological Well-being and Life Satisfaction (8 papers) and Health disparities and outcomes (5 papers). Maja Wiest collaborates with scholars based in Germany, United States and Switzerland. Maja Wiest's co-authors include Susanne Wurm, Benjamin Schüz, Noah Webster, Frank J. Infurna, Ann-Kristin Beyer, Nilàm Ram, Jürgen Schupp, Gert G. Wagner, Denis Gerstorf and Jutta Heckhausen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Developmental Psychology and Health Psychology.

In The Last Decade

Maja Wiest

18 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maja Wiest Germany 11 156 143 88 69 67 18 322
Julia S. Nakamura United States 9 129 0.8× 121 0.8× 51 0.6× 56 0.8× 95 1.4× 27 302
Laura Rubio Spain 9 116 0.7× 101 0.7× 84 1.0× 72 1.0× 80 1.2× 31 302
Yochai Shavit United States 3 157 1.0× 123 0.9× 74 0.8× 105 1.5× 58 0.9× 12 295
Heidi Igarashi United States 9 104 0.7× 70 0.5× 54 0.6× 70 1.0× 59 0.9× 13 228
Heather R. Fuller-Iglesias United States 10 157 1.0× 84 0.6× 61 0.7× 98 1.4× 73 1.1× 11 333
Marina Schmitt Brazil 7 88 0.6× 95 0.7× 71 0.8× 56 0.8× 65 1.0× 19 280
Alban Jaconelli France 6 118 0.8× 132 0.9× 218 2.5× 58 0.8× 30 0.4× 6 350
Pil H. Chung United States 7 120 0.8× 113 0.8× 208 2.4× 27 0.4× 46 0.7× 7 324
Ashley E. Ermer United States 10 184 1.2× 153 1.1× 56 0.6× 83 1.2× 54 0.8× 26 358
Johanna Nordmyr Finland 8 163 1.0× 87 0.6× 74 0.8× 108 1.6× 114 1.7× 27 413

Countries citing papers authored by Maja Wiest

Since Specialization
Citations

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

Fields of papers citing papers by Maja Wiest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Wiest

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Wiest. A scholar is included among the top collaborators of Maja Wiest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Wiest. Maja Wiest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bowen, Catherine E., Svenja M. Spuling, Anna E. Kornadt, & Maja Wiest. (2019). Young people feel wise and older people feel energetic: comparing age stereotypes and self-evaluations across adulthood. European Journal of Ageing. 17(4). 435–444. 11 indexed citations
2.
Wurm, Susanne, Maja Wiest, Julia K. Wolff, Ann-Kristin Beyer, & Svenja M. Spuling. (2019). Changes in views on aging in later adulthood: the role of cardiovascular events. European Journal of Ageing. 17(4). 457–467. 18 indexed citations
3.
Beyer, Ann-Kristin, Maja Wiest, & Susanne Wurm. (2019). There Is Still Time to Be Active: Self-Perceptions of Aging, Physical Activity, and the Role of Perceived Residual Lifetime Among Older Adults. Journal of Aging and Physical Activity. 27(6). 807–815. 11 indexed citations
4.
Wiest, Maja, et al.. (2019). The potential of statistical matching for the analysis of wider benefits of learning in later life. SHILAP Revista de lepidopterología. 10(3). 291–306. 2 indexed citations
5.
Wiest, Maja, et al.. (2018). Trends in non-formaler Bildungsbeteiligung in der zweiten Lebenshälfte: Steigende Bildungsbeteiligung im Ruhestand. Zeitschrift für Gerontologie und Geriatrie. 51(8). 897–902. 1 indexed citations
6.
Wiest, Maja, et al.. (2017). Trends in non-formaler Bildungsbeteiligung in der zweiten Lebenshälfte. Zeitschrift für Gerontologie und Geriatrie. 51(8). 897–902. 2 indexed citations
7.
Wolff, Julia K., et al.. (2017). Regional Impact of Population Aging on Changes in Individual Self-perceptions of Aging: Findings From the German Ageing Survey. The Gerontologist. 58(1). 47–56. 17 indexed citations
8.
Infurna, Frank J., Maja Wiest, Denis Gerstorf, et al.. (2016). Changes in life satisfaction when losing one's spouse: individual differences in anticipation, reaction, adaptation and longevity in the German Socio-economic Panel Study (SOEP). Ageing and Society. 37(5). 899–934. 59 indexed citations
9.
Infurna, Frank J. & Maja Wiest. (2016). The Effect of Disability Onset Across the Adult Life Span. The Journals of Gerontology Series B. 73(5). 755–766. 21 indexed citations
10.
Motel-Klingebiel, Andreas, Jochen P. Ziegelmann, & Maja Wiest. (2012). Hochaltrigkeit in der Gesellschaft des langen Lebens. Zeitschrift für Gerontologie und Geriatrie. 46(1). 5–9. 8 indexed citations
11.
Tesch‐Römer, Clemens, Maja Wiest, Susanne Wurm, & Oliver Huxhold. (2012). Einsamkeittrends in der zweiten Lebenshälfte. Zeitschrift für Gerontologie und Geriatrie. 46(3). 237–241. 12 indexed citations
12.
Wiest, Maja, Benjamin Schüz, & Susanne Wurm. (2012). Life satisfaction and feeling in control: Indicators of successful aging predict mortality in old age. Journal of Health Psychology. 18(9). 1199–1208. 27 indexed citations
13.
Wiest, Maja, Benjamin Schüz, Noah Webster, & Susanne Wurm. (2011). Subjective well-being and mortality revisited: Differential effects of cognitive and emotional facets of well-being on mortality.. Health Psychology. 30(6). 728–735. 91 indexed citations
14.
Scheibe, Susanne, Fredda Blanchard–Fields, Maja Wiest, & Alexandra M. Freund. (2011). Is longing only for Germans? A cross-cultural comparison of Sehnsucht in Germany and the United States.. Developmental Psychology. 47(3). 603–618. 11 indexed citations
15.
Wurm, Susanne, Maja Wiest, & Clemens Tesch‐Römer. (2010). Theorien zu Alter(n) und Gesundheit. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 53(5). 498–503. 6 indexed citations
16.
Motel-Klingebiel, Andreas, Clemens Tesch‐Römer, Susanne Wurm, et al.. (2010). German Ageing Survey (DEAS): The second half of life. Research Instruments of the Third Wave. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 4 indexed citations
17.
Motel-Klingebiel, Andreas, Clemens Tesch‐Römer, Susanne Wurm, et al.. (2010). Deutscher Alterssurvey: Die zweite Lebenshälfte. Erhebungsdesign und Instrumente der dritten Befragungswelle. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 48. 225. 4 indexed citations
18.
Kotter‐Grühn, Dana, et al.. (2009). What is it we are longing for? Psychological and demographic factors influencing the contents of Sehnsucht (life longings). Journal of Research in Personality. 43(3). 428–437. 17 indexed citations

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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