Lillian M. Khan

1.8k total citations
9 papers, 423 citations indexed

About

Lillian M. Khan is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Lillian M. Khan has authored 9 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Infectious Diseases. Recurrent topics in Lillian M. Khan's work include Mosquito-borne diseases and control (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Ocular Diseases and Behçet’s Syndrome (2 papers). Lillian M. Khan is often cited by papers focused on Mosquito-borne diseases and control (3 papers), Cytomegalovirus and herpesvirus research (2 papers) and Ocular Diseases and Behçet’s Syndrome (2 papers). Lillian M. Khan collaborates with scholars based in United States, Uganda and United Kingdom. Lillian M. Khan's co-authors include Joseph L. DeRisi, Michael R. Wilson, Brian D. O’Donovan, Hannah A. Sample, Kelsey C. Zorn, Eric D. Chow, Emily Crawford, Jay M. Stewart, Dongxiang Xia and Kristeene A. Knopp and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Neurology.

In The Last Decade

Lillian M. Khan

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lillian M. Khan United States 6 143 121 95 74 70 9 423
Manoj M. Thakker United States 11 39 0.3× 49 0.4× 108 1.1× 122 1.6× 140 2.0× 15 428
Curtis Knox United States 8 107 0.7× 9 0.1× 80 0.8× 167 2.3× 24 0.3× 10 338
Cynthia Hawkins Australia 15 101 0.7× 158 1.3× 164 1.7× 24 0.3× 9 0.1× 32 624
Swarup S. Swaminathan United States 14 29 0.2× 28 0.2× 196 2.1× 483 6.5× 18 0.3× 54 758
Maria Teresa Mandara Italy 13 76 0.5× 41 0.3× 95 1.0× 10 0.1× 47 0.7× 58 480
Kerstin Wunderlich Germany 18 364 2.5× 15 0.1× 364 3.8× 214 2.9× 46 0.7× 41 814
Felicity Nicholson United Kingdom 9 144 1.0× 26 0.2× 87 0.9× 40 0.5× 168 2.4× 12 486
Jacqueline W. Pearce United States 15 56 0.4× 6 0.0× 108 1.1× 136 1.8× 27 0.4× 27 441
Juliet R. Gionfriddo United States 16 77 0.5× 6 0.0× 112 1.2× 293 4.0× 32 0.5× 47 637
Harry L S Knopf United States 12 156 1.1× 7 0.1× 361 3.8× 207 2.8× 66 0.9× 20 690

Countries citing papers authored by Lillian M. Khan

Since Specialization
Citations

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

Fields of papers citing papers by Lillian M. Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lillian M. Khan. 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 Lillian M. Khan. The network helps show where Lillian M. Khan may publish in the future.

Co-authorship network of co-authors of Lillian M. Khan

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

All Works

9 of 9 papers shown
1.
Postels, Douglas G., Karl B. Seydel, Qian Xu, et al.. (2020). Central Nervous System Virus Infection in African Children with Cerebral Malaria. American Journal of Tropical Medicine and Hygiene. 103(1). 200–205. 3 indexed citations
2.
Leon, Kristoffer E., Ryan Schubert, Dídac Casas‐Alba, et al.. (2020). Genomic and serologic characterization of enterovirus A71 brainstem encephalitis. Neurology Neuroimmunology & Neuroinflammation. 7(3). 21 indexed citations
3.
Mandel‐Brehm, Caleigh, Divyanshu Dubey, Thomas J. Kryzer, et al.. (2019). Kelch-like Protein 11 Antibodies in Seminoma-Associated Paraneoplastic Encephalitis. New England Journal of Medicine. 381(1). 47–54. 132 indexed citations
4.
Mayday, Madeline Y., Lillian M. Khan, Eric D. Chow, Matt S. Zinter, & Joseph L. DeRisi. (2019). Miniaturization and optimization of 384-well compatible RNA sequencing library preparation. PLoS ONE. 14(1). e0206194–e0206194. 26 indexed citations
5.
Ramachandran, Prashanth, Fiona V Cresswell, Charles Langelier, et al.. (2019). Illuminating Tuberculosis Meningitis with Metagenomics and FLASH Enrichment (S45.005). Neurology. 92(15_supplement). 1 indexed citations
6.
Leon, Kristoffer E., Akshaya Ramesh, Lillian M. Khan, et al.. (2018). Pediatric Brainstem Encephalitis Outbreak Investigation with Metagenomic Next-Generation Sequencing (CCI.002). Neurology. 90(15_supplement). 1 indexed citations
7.
Beck, Erin, Prashanth Ramachandran, Lillian M. Khan, et al.. (2018). Clinicopathology conference: 41‐year‐old woman with chronic relapsing meningitis. Annals of Neurology. 85(2). 161–169. 12 indexed citations
8.
Wilson, Michael R., Dan Suan, Andrew Duggins, et al.. (2017). A novel cause of chronic viral meningoencephalitis: Cache Valley virus. Annals of Neurology. 82(1). 105–114. 86 indexed citations
9.
Doan, Thuy, Michael R. Wilson, Emily Crawford, et al.. (2016). Illuminating uveitis: metagenomic deep sequencing identifies common and rare pathogens. Genome Medicine. 8(1). 90–90. 141 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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