Dianne Stephens

2.6k citations
56 papers · 1.7k · h-index 21

Impact in

Papers in

Dianne Stephens

55 papers receiving 1.6k citations

Peers

Dianne Stephens
Comparison fields: 5 of 118
  • Critical Care and Intensive Care Medicine 149
  • Epidemiology 979
  • Biological Psychiatry 32
  • Applied Microbiology and Biotechnology 25
  • Small Animals 57
Replace Katharine A. Kirby with:
Katharine A. Kirby United States
Nirmal Joshi United States
André Miguel Japiassú Brazil
Norbert A. Foudraine Netherlands
Jean‐Pierre Bédos France
Esperanza Merino Spain
C Grassi Italy
Tom Marrie Canada
Wendy Sligl Canada
P.D.O. Davies United Kingdom
Dianne Stephens relative to Katharine A. Kirby United States Katharine A. Kirby's profile →
Citations per field
00.5×2.9×
Katharine A. Kirby · 1×
Citations per year

Countries citing papers authored by Dianne Stephens

Since Specialization
Citations

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

Fields of papers citing papers by Dianne Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000416
2 2014132
3 201083
4 200475
5 200769
6 201166
7 201166
8 201164
9 200659
10 200359
11 200953
12 200844
13 200743
14 200240
15 201637
16 200336
17 201033
18 201728
19 200327
20 200524

About Dianne Stephens

Dianne Stephens is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine and Public Health, Environmental and Occupational Health, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (8 papers), Sepsis Diagnosis and Treatment (7 papers), Respiratory Support and Mechanisms (4 papers), Pneumonia and Respiratory Infections (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Disaster Response and Management (3 papers), Anesthesia and Sedative Agents (3 papers) and Nosocomial Infections in ICU (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (149 citations), Epidemiology (979 citations), Biological Psychiatry (32 citations), Applied Microbiology and Biotechnology (25 citations) and Small Animals (57 citations). Dianne Stephens has collaborated with scholars based in Australia, United Kingdom and Belgium. Frequent co-authors include Nicholas M. Anstey, Bart J. Currie, Allen Cheng, Dale Fisher, Joshua S. Davis, Susan P. Jacups, Jane Thomas, Tsin Wen Yeo, James N. Burrow and Sarah Huffam. Their work appears in journals such as Anaesthesia and Intensive Care, Critical Care and Resuscitation, Critical Care, Clinical Infectious Diseases and The Medical Journal of Australia.

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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