Lars G. Fritsche

42.8k total citations · 4 hit papers
96 papers, 5.7k citations indexed

About

Lars G. Fritsche is a scholar working on Ophthalmology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lars G. Fritsche has authored 96 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Ophthalmology, 34 papers in Genetics and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lars G. Fritsche's work include Retinal Diseases and Treatments (35 papers), Genetic Associations and Epidemiology (31 papers) and Retinal Imaging and Analysis (28 papers). Lars G. Fritsche is often cited by papers focused on Retinal Diseases and Treatments (35 papers), Genetic Associations and Epidemiology (31 papers) and Retinal Imaging and Analysis (28 papers). Lars G. Fritsche collaborates with scholars based in United States, Germany and United Kingdom. Lars G. Fritsche's co-authors include Bernhard H. F. Weber, Bhramar Mukherjee, Claudia N. Keilhauer, Gonçalo R. Abecasis, Xu Shi, Andrea Rivera, Sheila Fisher, Chen Chen, Lauren Zimmermann and Thomas Meitinger and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lars G. Fritsche

92 papers receiving 5.6k citations

Hit Papers

Global Prevale... 2005 2026 2012 2019 2022 2005 2018 2014 250 500 750

Peers

Lars G. Fritsche
Andrew T. DeWan United States
Sudha K. Iyengar United States
Kathleen M. Egan United States
Petros Perros United Kingdom
Rebecca S. Bahn United States
Richard David Leslie United Kingdom
Nicola J. Camp United States
Andrew T. DeWan United States
Lars G. Fritsche
Citations per year, relative to Lars G. Fritsche Lars G. Fritsche (= 1×) peers Andrew T. DeWan

Countries citing papers authored by Lars G. Fritsche

Since Specialization
Citations

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

Fields of papers citing papers by Lars G. Fritsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars G. Fritsche. 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 Lars G. Fritsche. The network helps show where Lars G. Fritsche may publish in the future.

Co-authorship network of co-authors of Lars G. Fritsche

This figure shows the co-authorship network connecting the top 25 collaborators of Lars G. Fritsche. A scholar is included among the top collaborators of Lars G. Fritsche 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 Lars G. Fritsche. Lars G. Fritsche 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.
Bryant, Alex K., Yuewei Lin, James M. Rae, et al.. (2024). Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances. Cancer Medicine. 13(12). e7253–e7253. 4 indexed citations
2.
Schipper, Matthew J., Lars G. Fritsche, Garth W. Strohbehn, et al.. (2024). Pan‐Cancer Survival Impact of Immune Checkpoint Inhibitors in a National Healthcare System. Cancer Medicine. 13(21). e70379–e70379. 4 indexed citations
3.
Salvatore, Maxwell, Lauren J. Beesley, Alison M. Mondul, et al.. (2023). COVID-19 Outcomes by Cancer Status, Site, Treatment, and Vaccination. Cancer Epidemiology Biomarkers & Prevention. 32(6). 748–759. 7 indexed citations
4.
Traber, Ghislaine L., Maximilian Pfau, Sophie Riedl, et al.. (2023). Comparison of Novel Volumetric Microperimetry Metrics in Intermediate Age-Related Macular Degeneration: PINNACLE Study Report 3. Translational Vision Science & Technology. 12(8). 21–21. 2 indexed citations
5.
Fritsche, Lars G., Kisung Nam, Maxwell Salvatore, et al.. (2023). Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks. PLoS Genetics. 19(12). e1010907–e1010907. 3 indexed citations
6.
Zawistowski, Matthew, Lars G. Fritsche, Anita Pandit, et al.. (2023). The Michigan Genomics Initiative: A biobank linking genotypes and electronic clinical records in Michigan Medicine patients. Cell Genomics. 3(2). 100257–100257. 40 indexed citations
7.
Fritsche, Lars G., et al.. (2023). Characterizing and Predicting Post-Acute Sequelae of SARS CoV-2 Infection (PASC) in a Large Academic Medical Center in the US. Journal of Clinical Medicine. 12(4). 1328–1328. 11 indexed citations
8.
Chen, Chen, et al.. (2022). Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review. The Journal of Infectious Diseases. 226(9). 1593–1607. 790 indexed citations breakdown →
9.
Fang, Yu, Lars G. Fritsche, Bhramar Mukherjee, Srijan Sen, & Leah S. Richmond‐Rakerd. (2022). Polygenic Liability to Depression Is Associated With Multiple Medical Conditions in the Electronic Health Record: Phenome-wide Association Study of 46,782 Individuals. Biological Psychiatry. 92(12). 923–931. 10 indexed citations
10.
Shi, Xu, et al.. (2022). A Case-Crossover Phenome-wide association study (PheWAS) for understanding Post-COVID-19 diagnosis patterns. Journal of Biomedical Informatics. 136. 104237–104237. 6 indexed citations
11.
Fritsche, Lars G., Ying Ma, Daiwei Zhang, et al.. (2021). On cross-ancestry cancer polygenic risk scores. PLoS Genetics. 17(9). e1009670–e1009670. 26 indexed citations
12.
Gu, Tian, et al.. (2021). Changes in COVID-19-related outcomes, potential risk factors and disparities over time. Epidemiology and Infection. 149. 4 indexed citations
13.
Salerno, Stephen, Zhangchen Zhao, Maxwell Salvatore, et al.. (2020). Patterns of repeated diagnostic testing for COVID‐19 in relation to patient characteristics and outcomes. Journal of Internal Medicine. 289(5). 726–737. 9 indexed citations
14.
Goldstein, Jeffrey A., Joshua S. Weinstock, Lisa A. Bastarache, et al.. (2020). LabWAS: Novel findings and study design recommendations from a meta-analysis of clinical labs in two independent biobanks. PLoS Genetics. 16(11). e1009077–e1009077. 13 indexed citations
15.
Fritsche, Lars G., Lauren J. Beesley, Peter VandeHaar, et al.. (2019). Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. PLoS Genetics. 15(6). e1008202–e1008202. 22 indexed citations
16.
Ratnapriya, Rinki, Olukayode Sosina, Margaret R. Starostik, et al.. (2019). Retinal transcriptome and eQTL analyses identify genes associated with age-related macular degeneration. Nature Genetics. 51(4). 606–610. 175 indexed citations
17.
Dutta, Diptavo, Chad M. Brummett, Stephanie E. Moser, et al.. (2019). Heritability of the Fibromyalgia Phenotype Varies by Age. Arthritis & Rheumatology. 72(5). 815–823. 22 indexed citations
18.
Geerlings, Maartje J., Eveline Kersten, J.M.M. Groenewoud, et al.. (2018). Geographic distribution of rare variants associated with age-related macular degeneration.. PubMed. 24. 75–82. 7 indexed citations
19.
Schu, Matthew, Wei Chen, Lars G. Fritsche, Yi Yu, & Brian L. Yaspan. (2012). Meta-analysis Of Genome-wide Association Studies Identifies 19 Loci Associated With AMD Risk. Investigative Ophthalmology & Visual Science. 53(14). 2259–2259. 2 indexed citations
20.
Pollok‐Kopp, Beatrix, Peter Charbel Issa, Maja Walier, et al.. (2008). Systemic complement activation in Age-Related Macular Degeneration (AMD). Wiener klinische Wochenschrift. 120. 58–58. 1 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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