Maya Overland

442 citations
23 papers · 286 · h-index 11

Impact in

  • Urology top 2%
    • Urological Disorders and Treatments
    • Urologic and reproductive health conditions

Papers in

    • Sexual Differentiation and Disorders 7
    • Renal and related cancers 3
    • Bacterial biofilms and quorum sensing 2
    • Urological Disorders and Treatments 7

Maya Overland

23 papers receiving 284 citations

Peers

Maya Overland
Comparison fields: 5 of 62
  • Urology 132
  • Rheumatology 65
  • Structural Biology 4
  • Gender Studies 18
  • Reproductive Medicine 15
Replace Jonathan Charles Goddard with:
Jonathan Charles Goddard United Kingdom
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Riitta Fagerholm Finland
Eric Z. Massanyi United States
Alexandra Peyser United States
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Freerk G. Bouman Netherlands
Melissa M. Poh United States
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Citations per field
00.5×2.7×
Jonathan Charles Goddard · 1×
Citations per year

Countries citing papers authored by Maya Overland

Since Specialization
Citations

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

Fields of papers citing papers by Maya Overland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya Overland, 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 Overland Line = papers co-authored together Maya Overland 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 201866
2 201631
3 201925
4 201622
5 202122
6 201921
7 202120
8 202212
9 201812
10 202010
11 202210
12 20157
13 20197
14 20235
15 20203
16 20253
17 20242
18 20212
19 20202
20 20231

About Maya Overland

Maya Overland is a scholar working on Molecular Biology, Urology, Rheumatology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 286 indexed citations. Recurring topics across this work include Urological Disorders and Treatments (7 papers), Sexual Differentiation and Disorders (7 papers), Urologic and reproductive health conditions (5 papers), Pediatric Urology and Nephrology Studies (4 papers), Renal and related cancers (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Sperm and Testicular Function (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Urology (132 citations), Rheumatology (65 citations), Structural Biology (4 citations), Gender Studies (18 citations) and Reproductive Medicine (15 citations). Maya Overland has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Laurence S. Baskin, Gerald R. Cunha, Mei Cao, Yi Li, Adriane Sinclair, Joel Shen, Dylan Isaacson, Marshall L. Stoller, Xin Liu and Samuel L. Washington. Their work appears in journals such as Differentiation, Journal of Pediatric Urology, The Journal of Urology, Urology and European Urology Focus.

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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