Maria Leonido–Yee

2.3k total citations · 1 hit paper
8 papers, 1.8k citations indexed

About

Maria Leonido–Yee is a scholar working on Cellular and Molecular Neuroscience, Virology and Neurology. According to data from OpenAlex, Maria Leonido–Yee has authored 8 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Virology and 3 papers in Neurology. Recurrent topics in Maria Leonido–Yee's work include HIV Research and Treatment (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and HIV-related health complications and treatments (3 papers). Maria Leonido–Yee is often cited by papers focused on HIV Research and Treatment (4 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and HIV-related health complications and treatments (3 papers). Maria Leonido–Yee collaborates with scholars based in United States and Germany. Maria Leonido–Yee's co-authors include Oliver Speck, Linda Chang, Eric N. Miller, Thomas Ernst, Irwin Walot, Linda Chang, Joanna S. Fowler, Robert Hitzemann, Gene‐Jack Wang and Y.‐S. Ding and has published in prestigious journals such as American Journal of Psychiatry, Neurology and Radiology.

In The Last Decade

Maria Leonido–Yee

8 papers receiving 1.7k citations

Hit Papers

Association of Dopamine Transporter Reduction With Psycho... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maria Leonido–Yee United States 8 959 368 296 284 243 8 1.8k
J. Hampton Atkinson United States 20 443 0.5× 876 2.4× 280 0.9× 209 0.7× 110 0.5× 41 2.1k
Christine Cloak United States 20 448 0.5× 184 0.5× 312 1.1× 112 0.4× 78 0.3× 39 1.3k
Peter Jatlow United States 18 482 0.5× 68 0.2× 160 0.5× 300 1.1× 179 0.7× 25 1.3k
Julie D. Rippeth United States 15 259 0.3× 766 2.1× 225 0.8× 68 0.2× 79 0.3× 17 1.5k
Michael R. Weed United States 17 415 0.4× 220 0.6× 309 1.0× 221 0.8× 34 0.1× 38 960
Gregory A. Schmunk United States 13 851 0.9× 54 0.1× 150 0.5× 328 1.2× 253 1.0× 22 1.3k
Edwina Smith United States 6 330 0.3× 90 0.2× 83 0.3× 125 0.4× 63 0.3× 9 593
Peter Foley United Kingdom 16 247 0.3× 110 0.3× 103 0.3× 146 0.5× 45 0.2× 48 1.3k
Victoria Di Sclafani United States 19 383 0.4× 86 0.2× 527 1.8× 92 0.3× 33 0.1× 22 1.5k
Assawin Gongvatana United States 26 184 0.2× 849 2.3× 324 1.1× 119 0.4× 25 0.1× 39 1.9k

Countries citing papers authored by Maria Leonido–Yee

Since Specialization
Citations

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

Fields of papers citing papers by Maria Leonido–Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Leonido–Yee. 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 Maria Leonido–Yee. The network helps show where Maria Leonido–Yee may publish in the future.

Co-authorship network of co-authors of Maria Leonido–Yee

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

All Works

8 of 8 papers shown
1.
Chang, Linda, Thomas Ernst, Oliver Speck, et al.. (2002). Perfusion MRI and computerized cognitive test abnormalities in abstinent methamphetamine users. Psychiatry Research Neuroimaging. 114(2). 65–79. 188 indexed citations
2.
Volkow, Nora D., Linda Chang, Gene‐Jack Wang, et al.. (2001). Association of Dopamine Transporter Reduction With Psychomotor Impairment in Methamphetamine Abusers. American Journal of Psychiatry. 158(3). 377–382. 777 indexed citations breakdown →
3.
Ernst, Thomas, Linda Chang, Maria Leonido–Yee, & Oliver Speck. (2000). Evidence for long-term neurotoxicity associated with methamphetamine abuse. Neurology. 54(6). 1344–1349. 305 indexed citations
4.
Chang, Linda, Thomas Ernst, Maria Leonido–Yee, & Oliver Speck. (2000). Perfusion MRI detects rCBF abnormalities in early stages of HIV–cognitive motor complex. Neurology. 54(2). 389–389. 64 indexed citations
5.
Ernst, Thomas, Linda Chang, Mallory D. Witt, et al.. (1999). Progressive Multifocal Leukoencephalopathy and Human Immunodeficiency Virus-associated White Matter Lesions in AIDS: Magnetization Transfer MR Imaging. Radiology. 210(2). 539–543. 43 indexed citations
6.
Chang, L., Thomas Ernst, Maria Leonido–Yee, Irwin Walot, & Elyse J. Singer. (1999). Cerebral metabolite abnormalities correlate with clinical severity of HIV-1 cognitive motor complex. Neurology. 52(1). 100–100. 174 indexed citations
7.
Chang, Linda, Thomas Ernst, Maria Leonido–Yee, et al.. (1999). Highly active antiretroviral therapy reverses brain metabolite abnormalities in mild HIV dementia. Neurology. 53(4). 782–782. 174 indexed citations
8.
Chang, Linda, et al.. (1998). Proton Spectroscopy in Myotonic Dystrophy. Archives of Neurology. 55(3). 305–305. 52 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026