Steven G. Badman

1.3k citations
51 papers · 688 indexed · h-index 17
Topics
Reproductive tract infections research (20 papers)HIV, Drug Use, Sexual Risk (20 papers)HIV/AIDS Research and Interventions (18 papers)

In The Last Decade

Steven G. Badman

45 papers receiving 679 citations

Peers

Steven G. Badman
Comparison fields: 5 of 85
  • Epidemiology 307
  • Microbiology 254
  • Infectious Diseases 250
  • Physiology 176
  • General Health Professions 154
Replace Monica E. Patton with:
Monica E. Patton United States
Belinda Hengel Australia
Jodie Dionne‐Odom United States
Ansumana Sillah United Kingdom
J S A Fennema Netherlands
Robyn Neblett Fanfair United States
Muluken Melese Ethiopia
Aura Andreasen United Kingdom
A Meheus Belgium
Justin T Okano United States
Steven G. Badman relative to Monica E. Patton United States Monica E. Patton's profile →
Citations per field
00.5×3.8×
Monica E. Patton · 1×
Citations per year

Countries citing papers authored by Steven G. Badman

Since Specialization
Citations

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

Fields of papers citing papers by Steven G. Badman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven G. Badman. 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 Steven G. Badman. The network helps show where Steven G. Badman may publish in the future.

Co-authorship network of co-authors of Steven G. Badman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Badman. A scholar is included among the top collaborators of Steven G. Badman 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 Steven G. Badman. Steven G. Badman 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
#WorkIndexed citations
1 0
2 7
3 2
4 1
5 10
6 5
7 29
8 7
9 6
10 8
11 5
12 17
13 10
14 15
15 28
16 56
17 5
18 19
19 8
20 26

About Steven G. Badman

Steven G. Badman is a scholar working on Microbiology, Infectious Diseases and Epidemiology, having authored 51 papers that have together received 688 indexed citations. Recurring topics across this work include Reproductive tract infections research (20 papers), HIV, Drug Use, Sexual Risk (20 papers) and HIV/AIDS Research and Interventions (18 papers). The work is most often cited by research in Microbiology (254 citations), Infectious Diseases (250 citations) and Epidemiology (307 citations). Steven G. Badman has collaborated with scholars based in Australia, Papua New Guinea and United States. Frequent co-authors include Rebecca Guy, John Kaldor, David M. Whiley, Sepehr N. Tabrizi, Andrew Vallely, James Ward, Louise Causer, Annie Tangey, Belinda Hengel and Mark Shephard. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and The Lancet Infectious Diseases.

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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