Long Doan

1.2k total citations · 1 hit paper
33 papers, 697 citations indexed

About

Long Doan is a scholar working on Sociology and Political Science, Social Psychology and Gender Studies. According to data from OpenAlex, Long Doan has authored 33 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Sociology and Political Science, 16 papers in Social Psychology and 4 papers in Gender Studies. Recurrent topics in Long Doan's work include LGBTQ Health, Identity, and Policy (11 papers), Social and Intergroup Psychology (8 papers) and Social Power and Status Dynamics (7 papers). Long Doan is often cited by papers focused on LGBTQ Health, Identity, and Policy (11 papers), Social and Intergroup Psychology (8 papers) and Social Power and Status Dynamics (7 papers). Long Doan collaborates with scholars based in United States, Germany and Australia. Long Doan's co-authors include Trenton D. Mize, J. Scott Long, Lisa R. Miller, Natasha Quadlin, Liana C. Sayer, Jessica N. Fish, John P. Salerno, Natasha D. Williams, Thanh Vu and Afshin Rahimi and has published in prestigious journals such as American Sociological Review, Social Science & Medicine and Social Forces.

In The Last Decade

Long Doan

28 papers receiving 673 citations

Hit Papers

A General Framework for Comparing Predictions and Margina... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A General Framework for Comparing Predictions and Marginal Effects across Models
    2019 224 citations Trenton D. Mize, Long Doan et al. Sociological Methodology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long Doan United States 13 354 257 163 99 78 33 697
Margaret Tankard United States 7 462 1.3× 208 0.8× 138 0.8× 59 0.6× 75 1.0× 13 779
Carly Knight United States 10 451 1.3× 107 0.4× 313 1.9× 36 0.4× 47 0.6× 20 755
Jon Garland United Kingdom 18 639 1.8× 96 0.4× 260 1.6× 109 1.1× 76 1.0× 55 900
Giulia Maria Dotti Sani Italy 17 500 1.4× 115 0.4× 274 1.7× 112 1.1× 92 1.2× 35 890
Allison Harell Canada 16 765 2.2× 119 0.5× 118 0.7× 78 0.8× 48 0.6× 53 1.0k
María E. Len‐Ríos United States 17 418 1.2× 130 0.5× 101 0.6× 52 0.5× 87 1.1× 43 924
Benjamin Hanckel Australia 13 220 0.6× 137 0.5× 158 1.0× 80 0.8× 16 0.2× 40 548
Gina Lai Hong Kong 12 412 1.2× 142 0.6× 64 0.4× 100 1.0× 108 1.4× 23 788
Lynn A. Addington United States 15 610 1.7× 234 0.9× 157 1.0× 128 1.3× 347 4.4× 46 957
Anning Hu China 17 587 1.7× 104 0.4× 135 0.8× 45 0.5× 230 2.9× 74 893

Countries citing papers authored by Long Doan

Since Specialization
Citations

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

Fields of papers citing papers by Long Doan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Doan

This figure shows the co-authorship network connecting the top 25 collaborators of Long Doan. A scholar is included among the top collaborators of Long Doan 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 Long Doan. Long Doan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Doan, Long, et al.. (2025). The Daily Lives of Crowdsourced U.S. Respondents: A Time Use Comparison of MTurk, Prolific, and ATUS. Sociological Methodology. 55(2). 183–217.
2.
3.
Grace, Matthew K. & Long Doan. (2024). Medical Authority, Trans Exceptionalism, and Americans’ Willingness to Believe Claims of Inadequate Training as Justification for the Denial of Care to Trans People. Socius Sociological Research for a Dynamic World. 10. 1 indexed citations
4.
Sayer, Liana C., et al.. (2023). Blurred border or safe harbor? Emotional well-being among sexual and gender minority adults working from home during COVID-19. Social Science & Medicine. 323. 115850–115850. 4 indexed citations
5.
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7.
Sayer, Liana C., et al.. (2022). Mothering and Stress during COVID-19: Exploring the Moderating Effects of Employment. Socius Sociological Research for a Dynamic World. 8. 2325498320–2325498320. 3 indexed citations
8.
Benard, Stephen, et al.. (2022). To Forgive Is Divine? Morality and the Status Value of Intergroup Revenge and Forgiveness. RSF The Russell Sage Foundation Journal of the Social Sciences. 8(6). 122–139. 7 indexed citations
9.
Doan, Long, et al.. (2022). MyTimeUse: An Online Implementation of the Day-Reconstruction Method. 1. 23–50. 4 indexed citations
10.
Doan, Long, et al.. (2022). Not All Homes Are Safe: Family Violence Following the Onset of the Covid-19 Pandemic. Journal of Family Violence. 38(2). 189–201. 21 indexed citations
11.
Salerno, John P., et al.. (2021). Changes in mental health and well-being are associated with living arrangements with parents during COVID-19 among sexual minority young persons in the U.S.. Psychology of Sexual Orientation and Gender Diversity. 10(1). 150–156. 27 indexed citations
12.
Fish, Jessica N., et al.. (2021). Sexual Minority Disparities in Health and Well-Being as a Consequence of the COVID-19 Pandemic Differ by Sexual Identity. LGBT Health. 8(4). 263–272. 84 indexed citations
13.
Nguyen, Dat Quoc, et al.. (2020). WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets. 314–318. 45 indexed citations
14.
Benard, Stephen & Long Doan. (2020). When Is Retaliation Respected? Status and Vengefulness in Intergroup and Interpersonal Contexts. Socius Sociological Research for a Dynamic World. 6. 3 indexed citations
15.
Mize, Trenton D., Long Doan, & J. Scott Long. (2019). A General Framework for Comparing Predictions and Marginal Effects across Models. Sociological Methodology. 49(1). 152–189. 224 indexed citations breakdown →
16.
Quadlin, Natasha & Long Doan. (2018). Sex-Typed Chores and the City: Gender, Urbanicity, and Housework. Gender & Society. 32(6). 789–813. 19 indexed citations
17.
Doan, Long, et al.. (2015). The Power of Love: The Role of Emotional Attributions and Standards in Heterosexuals' Attitudes toward Lesbian and Gay Couples. Social Forces. 94(1). 401–425. 19 indexed citations
18.
Doan, Long, et al.. (2015). The Role of Selection Effects in the Contact Hypothesis: Results from a U.S. National Survey on Sexual Prejudice. Archives of Sexual Behavior. 44(8). 2111–2123. 10 indexed citations
19.
Doan, Long, et al.. (2015). Health surveillance through social networks. Social Networks. 42. 8–17. 6 indexed citations
20.
Duke, P. J., et al.. (2009). CORRELATION BETWEEN MICRO-CT SECTIONS AND HISTOLOGICAL SECTIONS OF MOUSE SKULL DEFECTS IMPLANTED WITH ENGINEERED CARTILAGE.. PubMed. 22(2). 45–50. 2 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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