Maya Tholandi

23 papers receiving 563 citations

Peers

Maya Tholandi
Comparison fields: 5 of 80
  • Infectious Diseases 276
  • Microbiology 78
  • Pediatrics, Perinatology and Child Health 179
  • General Health Professions 230
  • Virology 38
Replace Ute Feucht with:
Ute Feucht South Africa
Rachael Bonawitz United States
Andrés A. Berruti United States
Mpundu Makasa Zambia
Jacqueline Uriyo Tanzania
Yared Mekonnen Ethiopia
N. E. Sam Tanzania
Elizabeth Mbizvo Norway
Donan Mmbando Tanzania
Beth A. Tippett Barr United States
Maya Tholandi relative to Ute Feucht South Africa Ute Feucht's profile →
Citations per field
00.5×2.6×
Ute Feucht · 1×
Citations per year

Countries citing papers authored by Maya Tholandi

Since Specialization
Citations

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

Fields of papers citing papers by Maya Tholandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200686
2 201383
3 200280
4 200676
5 200655
6 200234
7 200232
8 202021
9 201317
10 200615
11 201912
12 201312
13 201911
14 201910
15 20138
16 20218
17 20197
18 20137
19 20196
20 20155

About Maya Tholandi

Maya Tholandi is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases, General Health Professions, Epidemiology and Sociology and Political Science, having authored 23 papers that have together received 594 indexed citations. Recurring topics across this work include Global Maternal and Child Health (13 papers), HIV/AIDS Research and Interventions (10 papers), Adolescent Sexual and Reproductive Health (6 papers), Maternal and fetal healthcare (3 papers), Sex work and related issues (3 papers), Child Nutrition and Water Access (3 papers), HIV, Drug Use, Sexual Risk (3 papers) and Reproductive tract infections research (3 papers). The work is most often cited by research in Infectious Diseases (276 citations), Microbiology (78 citations), Pediatrics, Perinatology and Child Health (179 citations), General Health Professions (230 citations) and Virology (38 citations). Maya Tholandi has collaborated with scholars based in United States, Australia and Indonesia. Frequent co-authors include David Wilkinson, Gita Ramjee, George W Rutherford, Qiang Xia, Dennis Osmond, Lance M. Pollack, Juan D. Ruiz, Joseph A. Catania, Fred Molitor and Wei Zhou. Their work appears in journals such as International Journal of Gynecology & Obstetrics, Cochrane Database of Systematic Reviews, International Journal of STD & AIDS, JAIDS Journal of Acquired Immune Deficiency Syndromes and BMJ Open.

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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