Lisa Lott

1.2k total citations
34 papers, 878 citations indexed

About

Lisa Lott is a scholar working on Epidemiology, Infectious Diseases and Genetics. According to data from OpenAlex, Lisa Lott has authored 34 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 12 papers in Infectious Diseases and 10 papers in Genetics. Recurrent topics in Lisa Lott's work include Viral gastroenteritis research and epidemiology (10 papers), Respiratory viral infections research (10 papers) and Virus-based gene therapy research (8 papers). Lisa Lott is often cited by papers focused on Viral gastroenteritis research and epidemiology (10 papers), Respiratory viral infections research (10 papers) and Virus-based gene therapy research (8 papers). Lisa Lott collaborates with scholars based in United States, Hungary and Israel. Lisa Lott's co-authors include Forrest Scogin, Kenneth Blum, Xiaoyan Lu, Dean D. Erdman, David Metzgar, Rajendra D. Badgaiyan, Sandor Feldman, David Siwicki, David Baron and Robert E. Lanford and has published in prestigious journals such as PLoS ONE, Journal of Virology and Journal of Clinical Microbiology.

In The Last Decade

Lisa Lott

33 papers receiving 859 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Lott United States 18 358 218 184 173 136 34 878
Jaime Carrizosa Colombia 15 223 0.6× 271 1.2× 354 1.9× 102 0.6× 55 0.4× 49 951
Juan Carlos García‐Moncó Spain 27 456 1.3× 749 3.4× 339 1.8× 132 0.8× 56 0.4× 108 2.3k
Marylou V. Solbrig United States 20 304 0.8× 199 0.9× 70 0.4× 41 0.2× 192 1.4× 33 767
Philip Yates United Kingdom 21 461 1.3× 98 0.4× 118 0.6× 57 0.3× 116 0.9× 55 1.3k
Molly E. Eaton United States 16 238 0.7× 251 1.2× 231 1.3× 172 1.0× 416 3.1× 22 1.7k
Robert H. Yolken United States 17 512 1.4× 505 2.3× 159 0.9× 152 0.9× 159 1.2× 29 1.9k
Holger Schmidt Germany 21 460 1.3× 204 0.9× 69 0.4× 30 0.2× 93 0.7× 58 1.3k
Barbara Cameron Australia 19 332 0.9× 315 1.4× 713 3.9× 101 0.6× 88 0.6× 45 2.0k
H. Friedman United States 16 127 0.4× 143 0.7× 69 0.4× 42 0.2× 73 0.5× 37 955
Sunil Khushalani United States 33 380 1.1× 143 0.7× 800 4.3× 184 1.1× 77 0.6× 52 2.7k

Countries citing papers authored by Lisa Lott

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Lott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Lott

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

All Works

20 of 20 papers shown
1.
Blum, Kenneth, Lisa Lott, Marjorie C. Gondré‐Lewis, et al.. (2021). High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial. Molecular Neurobiology. 58(7). 3335–3346. 23 indexed citations
2.
Lott, Lisa, et al.. (2021). Evaluating sensitivity and specificity of the Biomeme Franklin™ three9 real-time PCR device and SARS-CoV-2 go-strips assay using clinical samples. Journal of Clinical Virology. 146. 105046–105046. 6 indexed citations
3.
Blum, Kenneth, Jag Khalsa, Jean Lud Cadet, et al.. (2021). Cannabis-Induced Hypodopaminergic Anhedonia and Cognitive Decline in Humans: Embracing Putative Induction of Dopamine Homeostasis. Frontiers in Psychiatry. 12. 623403–623403. 21 indexed citations
4.
Blum, Kenneth, Lisa Lott, David Baron, et al.. (2020). Improving naltrexone compliance and outcomes with putative pro- dopamine regulator KB220, compared to treatment as usual. PubMed. 6(3). 14 indexed citations
5.
Blum, Kenneth, David Baron, Lisa Lott, et al.. (2019). In Search of Reward Deficiency Syndrome (RDS)-Free Controls: The “Holy Grail” in Genetic Addiction Risk Testing. PubMed. 9(1). 7–21. 20 indexed citations
6.
Blum, Kenneth, Marjorie C. Gondré‐Lewis, Edward J. Modestino, et al.. (2019). Understanding the Scientific Basis of Post-traumatic Stress Disorder (PTSD): Precision Behavioral Management Overrides Stigmatization. Molecular Neurobiology. 56(11). 7836–7850. 25 indexed citations
7.
Modestino, Edward J., David Siwicki, Lisa Lott, et al.. (2019). Hypodopaminergia and “Precision Behavioral Management” (PBM): It is a Generational Family Affair. Current Pharmaceutical Biotechnology. 21(6). 528–541. 40 indexed citations
8.
Blum, Kenneth, Todd C. Pappas, Margaret Madigan, et al.. (2019). Rapid Anti-Depressant Relief by Ketamine: Exploring A Complex Mechanism of Action. 8(2). 99–112.
9.
Blum, Kenneth, David Baron, Abdalla Bowirrat, et al.. (2019). Death by Opioids: Are there non-addictive scientific solutions?. PubMed. 5(2). 16 indexed citations
11.
Steinberg, Bruce, et al.. (2018). Pro-Dopamine Regulator (KB220) A Fifty Year Sojourn to Combat Reward Deficiency Syndrome (RDS): Evidence Based Bibliography (Annotated).. PubMed. 1(2). 24 indexed citations
12.
Lynch, David T., et al.. (2017). Adenovirus-Associated Acute Appendicitis: An Under-Recognized Relationship?. Military Medicine. 182(5). e1765–e1768. 7 indexed citations
13.
Lott, Lisa, et al.. (2015). Comparison of diagnostic test performance in a population of high risk young adults versus a general population presenting with influenza. Journal of Clinical Virology. 68. 49–52. 1 indexed citations
15.
Houng, Huo‐Shu H., Adriana E. Kajon, Morris S. Jones, et al.. (2010). Genome sequences of Human Adenovirus 14 isolates from mild respiratory cases and a fatal pneumonia, isolated during 2006-2007 epidemics in North America. Respiratory Research. 11(1). 116–116. 31 indexed citations
16.
Metzgar, David, et al.. (2009). Evaluation and Validation of a Real-Time PCR Assay for Detection and Quantitation of Human Adenovirus 14 from Clinical Samples. PLoS ONE. 4(9). e7081–e7081. 18 indexed citations
17.
Lessa, Fernanda C., P. L. Gould, Dean D. Erdman, et al.. (2009). Health Care Transmission of a Newly Emergent Adenovirus Serotype in Health Care Personnel at a Military Hospital in Texas, 2007. The Journal of Infectious Diseases. 200(11). 1759–1765. 28 indexed citations
18.
Tate, Jacqueline E., Michel L. Bunning, Lisa Lott, et al.. (2009). Outbreak of Severe Respiratory Disease Associated with Emergent Human Adenovirus Serotype 14 at a US Air Force Training Facility in 2007. The Journal of Infectious Diseases. 199(10). 1419–1426. 99 indexed citations
19.
Infante, Anthony J., Jacques Baillargeon, Ellen Kraig, et al.. (2003). Evidence of a diverse T cell receptor repertoire for acetylcholine receptor, the autoantigen of myasthenia gravis. Journal of Autoimmunity. 21(2). 167–174. 15 indexed citations
20.
Lott, Lisa, Lena Notvall, & Robert E. Lanford. (2003). Transcomplementation of core and polymerase functions of the woolly monkey and human hepatitis B viruses. Virology. 308(2). 330–339. 5 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.

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