Suzanne Lee

1.0k total citations
26 papers, 659 citations indexed

About

Suzanne Lee is a scholar working on Obstetrics and Gynecology, Clinical Psychology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Suzanne Lee has authored 26 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Obstetrics and Gynecology, 9 papers in Clinical Psychology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Suzanne Lee's work include Maternal and Perinatal Health Interventions (11 papers), Grief, Bereavement, and Mental Health (7 papers) and Maternal Mental Health During Pregnancy and Postpartum (6 papers). Suzanne Lee is often cited by papers focused on Maternal and Perinatal Health Interventions (11 papers), Grief, Bereavement, and Mental Health (7 papers) and Maternal Mental Health During Pregnancy and Postpartum (6 papers). Suzanne Lee collaborates with scholars based in United Kingdom, United States and Singapore. Suzanne Lee's co-authors include Susan Ayers, Chayawat Ornthanalai, Jonathan Clarke, Daniel Bradley, Judy Shakespeare, Alexandra Thornton, Erik C. B. Olsen, Bruce G. Simons‐Morton, Jonathan F. Antin and Jeremy Sudweeks and has published in prestigious journals such as The Journal of Finance, Accident Analysis & Prevention and Advances in experimental medicine and biology.

In The Last Decade

Suzanne Lee

26 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Lee United Kingdom 13 201 173 133 116 116 26 659
Imran Haider Pakistan 13 179 0.9× 27 0.2× 55 0.4× 273 2.4× 14 0.1× 52 669
Anna Zhu Australia 13 38 0.2× 34 0.2× 67 0.5× 69 0.6× 34 0.3× 76 700
Fiona Fylan United Kingdom 15 75 0.4× 13 0.1× 16 0.1× 21 0.2× 12 0.1× 39 710
Quynh Lê Australia 13 117 0.6× 100 0.6× 74 0.6× 83 0.7× 8 0.1× 61 595
Sharon Clarke United Kingdom 12 52 0.3× 5 0.0× 24 0.2× 170 1.5× 4 0.0× 29 929
Fernando Martín Poó Argentina 14 206 1.0× 108 0.6× 19 0.1× 234 2.0× 45 869
Judith Sleney United Kingdom 6 87 0.4× 5 0.0× 12 0.1× 64 0.6× 5 0.0× 7 613
Matija Svetina Slovenia 9 81 0.4× 83 0.5× 68 0.5× 57 0.5× 21 404
Joan Harvey United Kingdom 15 261 1.3× 18 0.1× 13 0.1× 50 0.4× 34 736
Cynthia A. Langford United States 6 99 0.5× 9 0.1× 32 0.2× 85 0.7× 4 0.0× 12 573

Countries citing papers authored by Suzanne Lee

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Lee. A scholar is included among the top collaborators of Suzanne Lee 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 Suzanne Lee. Suzanne Lee 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.
Lee, Suzanne, et al.. (2019). Design With Science. 1 indexed citations
2.
Lee, Suzanne. (2019). A Showcase of Medical, Therapeutic and Pastime Uses of Virtual Reality (VR) and How (VR) Is Impacting the Dementia Sector. Advances in experimental medicine and biology. 1156. 135–141. 2 indexed citations
3.
Lee, Suzanne, et al.. (2019). Pregnancy related risk perception in pregnant women, midwives & doctors: a cross-sectional survey. BMC Pregnancy and Childbirth. 19(1). 335–335. 27 indexed citations
4.
Olander, Ellinor K., et al.. (2019). Women’s views on contact with a health visitor during pregnancy: an interview study. Primary Health Care Research & Development. 20. e105–e105. 7 indexed citations
5.
Olander, Ellinor K., et al.. (2019). Women's views of continuity of information provided during and after pregnancy: A qualitative interview study. Health & Social Care in the Community. 27(5). 1214–1223. 12 indexed citations
6.
Crawley, Rosalind, Susan Ayers, Alexandra Thornton, et al.. (2018). Feasibility and acceptability of expressive writing with postpartum women: a randomised controlled trial. BMC Pregnancy and Childbirth. 18(1). 75–75. 8 indexed citations
7.
Ayers, Susan, Rosalind Crawley, Alexandra Thornton, et al.. (2018). Evaluation of expressive writing for postpartum health: a randomised controlled trial. Journal of Behavioral Medicine. 41(5). 614–626. 26 indexed citations
8.
Thornton, Alexandra, et al.. (2017). Seeking help for perinatal psychological distress: a meta-synthesis of women’s experiences. British Journal of General Practice. 67(663). e692–e699. 77 indexed citations
9.
Pérez, Miguel A., Jeremy Sudweeks, Jonathan F. Antin, et al.. (2017). Performance of basic kinematic thresholds in the identification of crash and near-crash events within naturalistic driving data. Accident Analysis & Prevention. 103. 10–19. 72 indexed citations
10.
Lee, Suzanne, et al.. (2016). Risk perception and choice of place of birth in women with high risk pregnancies: A qualitative study. Midwifery. 38. 49–54. 20 indexed citations
12.
Lee, Suzanne, et al.. (2016). Decision-making regarding place of birth in high-risk pregnancy: a qualitative study. Journal of Psychosomatic Obstetrics & Gynecology. 37(2). 44–50. 12 indexed citations
13.
Lee, Suzanne, et al.. (2015). How women with high risk pregnancies use lay information when considering place of birth: A qualitative study. Women and Birth. 29(1). e13–e17. 7 indexed citations
14.
Lee, Suzanne, et al.. (2013). A metasynthesis of risk perception in women with high risk pregnancies. Midwifery. 30(4). 403–411. 36 indexed citations
15.
Bradley, Daniel, Jonathan Clarke, Suzanne Lee, & Chayawat Ornthanalai. (2013). Are Analysts’ Recommendations Informative? Intraday Evidence on the Impact of Time Stamp Delays. The Journal of Finance. 69(2). 645–673. 137 indexed citations
16.
Pradhan, Anuj K., Bruce G. Simons‐Morton, Suzanne Lee, & Sheila G. Klauer. (2011). Hazard Perception and Distraction in Novice Drivers: Effects of 12 Months 
Driving Experience. 10 indexed citations
17.
Lee, Suzanne, Erik C. B. Olsen, & Bruce G. Simons‐Morton. (2006). Eyeglance Behavior of Novice Teen and Experienced Adult Drivers. Transportation Research Record Journal of the Transportation Research Board. 1980. 57–64. 30 indexed citations
18.
Lee, Suzanne, et al.. (2005). Fashioning the future: tomorrow's wardrobe. University of the Arts London Research Online (University of the Arts London). 30 indexed citations
19.
Lee, Suzanne. (2005). Fashioning the Future. 6 indexed citations
20.
Lee, Suzanne, et al.. (1998). Understanding Preservice Teachers' Beliefs through Autobiographical Analysis.. 47. 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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