Michaela Maynard

25 papers receiving 285 citations

Peers

Michaela Maynard
Comparison fields: 5 of 49
  • Medical Laboratory Technology 28
  • Microbiology 48
  • Infectious Diseases 124
  • Hepatology 36
  • Epidemiology 125
Replace Ajay Bhambal with:
Ajay Bhambal India
Jennifer Chang United States
I H Ahmed-Jushuf United Kingdom
Delphine Rahib France
Gérard Pellissier France
Ronnie Myers United States
Vita W. Jongen Netherlands
Jennifer Legardy-Williams United States
Caroline Carnevale United States
H Lamba United Kingdom
Michaela Maynard relative to Ajay Bhambal India Ajay Bhambal's profile →
Citations per field
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Ajay Bhambal · 1×
Citations per year

Countries citing papers authored by Michaela Maynard

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Maynard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201544
3 202025
4 202121
5 202121
6 201121
7 202119
8 202115
9 20149
10 20109
11 20129
12 20248
13 20217
14 20236
15 20224
16 20203
17 20203
18 20232
19
Increasing Syphilis in Rhode Island: Return of an Old Foe.
20192
20 20241

About Michaela Maynard

Michaela Maynard is a scholar working on Infectious Diseases, Medical Laboratory Technology, Microbiology, Hepatology and Epidemiology, having authored 26 papers that have together received 292 indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (12 papers), HIV/AIDS Research and Interventions (9 papers), Sex work and related issues (5 papers), Hepatitis C virus research (5 papers), Syphilis Diagnosis and Treatment (4 papers), Reproductive tract infections research (4 papers), Adolescent Sexual and Reproductive Health (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Medical Laboratory Technology (28 citations), Microbiology (48 citations), Infectious Diseases (124 citations), Hepatology (36 citations) and Epidemiology (125 citations). Michaela Maynard has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Philip A. Chan, Siena Napoleon, Alexi Almonte, Jun Tao, Brooke G. Rogers, Elizabeth Silva, Marjorie Funk, Yadin David, Matthew Murphy and Lynn E. Taylor. Their work appears in journals such as AIDS and Behavior, Sexually Transmitted Diseases, AIDS Patient Care and STDs, Sexually Transmitted Infections and International Journal of STD & AIDS.

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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