Jane Mullen

33 papers receiving 1.6k citations

Peers

Jane Mullen
Comparison fields: 5 of 115
  • Radiological and Ultrasound Technology 847
  • Statistics, Probability and Uncertainty 561
  • Medical Laboratory Technology 119
  • Virology 325
  • Organizational Behavior and Human Resource Management 283
Replace E.M.M. de Vroome with:
E.M.M. de Vroome Netherlands
Jessica Polzer Canada
Suzanne Day United States
Rebecca Grossman United States
Michael Bartoš Australia
Ruchi Sinha India
Jane M. Carrington United States
Jordana de Almeida Nogueira Brazil
Eric R. Buhi United States
Maria Karanika‐Murray United Kingdom
Jane Mullen relative to E.M.M. de Vroome Netherlands E.M.M. de Vroome's profile →
Citations per field
00.5×10×20×28.1×
E.M.M. de Vroome · 1×
Citations per year

Countries citing papers authored by Jane Mullen

Since Specialization
Citations

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

Fields of papers citing papers by Jane Mullen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Mullen, 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 Jane Mullen Line = papers co-authored together Jane Mullen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006310
2 2008250
3 2004233
4 2016135
5 2011118
6 2010105
7 201768
8 200257
9 200255
10 199852
11 200543
12 199937
13 200532
14 199832
15 201831
16 201326
17 200319
18 202117
19 199617
20 200617

About Jane Mullen

Jane Mullen is a scholar working on Infectious Diseases, Virology, Radiological and Ultrasound Technology, Sociology and Political Science and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (14 papers), HIV/AIDS Research and Interventions (14 papers), HIV/AIDS drug development and treatment (11 papers), Occupational Health and Safety Research (8 papers), Risk and Safety Analysis (7 papers), Workplace Violence and Bullying (5 papers), Healthcare professionals’ stress and burnout (2 papers) and Supply Chain Resilience and Risk Management (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (847 citations), Statistics, Probability and Uncertainty (561 citations), Medical Laboratory Technology (119 citations), Virology (325 citations) and Organizational Behavior and Human Resource Management (283 citations). Jane Mullen has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include E. Kevin Kelloway, Lori Francis, Michael Teed, Siobhan O’Shea, Ann Rhéaume, I. L. Chrystie, Philippa Easterbrook, Annemiek de Ruiter, Mark Zuckerman and Iain Tatt. Their work appears in journals such as Journal of Medical Virology, AIDS, Journal of Occupational Health Psychology, Journal of Clinical Microbiology and Journal of Nursing Management.

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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