Séverin Guy Mahiane

1.2k citations
14 papers · 683 indexed · 1 hit paper · h-index 8
Topics
HIV/AIDS Research and Interventions (7 papers)HIV, Drug Use, Sexual Risk (5 papers)Reproductive tract infections research (4 papers)

In The Last Decade

Séverin Guy Mahiane

14 papers receiving 667 citations

Hit Papers

Global burden of maternal and congenital syphilis and ass...2019202620212023201950100150200

Peers

Séverin Guy Mahiane
Comparison fields: 5 of 73
  • Infectious Diseases 317
  • Physiology 239
  • Epidemiology 191
  • General Health Professions 131
  • Microbiology 126
Replace Jodie Dionne‐Odom with:
Jodie Dionne‐Odom United States
Gérson Fernando Mendes Pereira Brazil
Hope Ngobese South Africa
Lillian B. Brown United States
Jane L. Goller Australia
Susan Nakubulwa Uganda
Susan Cowan Denmark
Lieve Fransen Belgium
Virginia Caine United States
Monica E. Patton United States
Séverin Guy Mahiane relative to Jodie Dionne‐Odom United States Jodie Dionne‐Odom's profile →
Citations per field
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Jodie Dionne‐Odom · 1×
Citations per year

Countries citing papers authored by Séverin Guy Mahiane

Since Specialization
Citations

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

Fields of papers citing papers by Séverin Guy Mahiane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Séverin Guy Mahiane. 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 Séverin Guy Mahiane. The network helps show where Séverin Guy Mahiane may publish in the future.

Co-authorship network of co-authors of Séverin Guy Mahiane

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 5
3 10
4 1
5 277
6 1
7
Global burden of maternal and congenital syphilis and associated adverse birth outcomes—Estimates for 2016 and progress since 2012breakdown →
249
8 9
9 38
10 7
11 4
12 64
13 3
14 10

About Séverin Guy Mahiane

Séverin Guy Mahiane is a scholar working on Microbiology, Statistics and Probability and Infectious Diseases, having authored 14 papers that have together received 683 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (7 papers), HIV, Drug Use, Sexual Risk (5 papers) and Reproductive tract infections research (4 papers). The work is most often cited by research in Microbiology (126 citations), Infectious Diseases (317 citations) and Modeling and Simulation (52 citations). Séverin Guy Mahiane has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jane Rowley, Nico Nagelkerke, Eline L. Korenromp, Melanie Taylor, Kimberly Marsh, Robert Glaubius, Mary L. Kamb, Nathalie Broutet, Maeve B. Mello and N. Saman Wijesooriya. Their work appears in journals such as PLoS ONE, Scientific Reports and PLoS Medicine.

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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