Lili Chan

5.8k total citations
82 papers, 1.2k citations indexed

About

Lili Chan is a scholar working on Nephrology, Surgery and Infectious Diseases. According to data from OpenAlex, Lili Chan has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Nephrology, 17 papers in Surgery and 15 papers in Infectious Diseases. Recurrent topics in Lili Chan's work include Dialysis and Renal Disease Management (16 papers), COVID-19 Clinical Research Studies (14 papers) and Chronic Kidney Disease and Diabetes (11 papers). Lili Chan is often cited by papers focused on Dialysis and Renal Disease Management (16 papers), COVID-19 Clinical Research Studies (14 papers) and Chronic Kidney Disease and Diabetes (11 papers). Lili Chan collaborates with scholars based in United States, Thailand and Germany. Lili Chan's co-authors include Girish N. Nadkarni, Steven G. Coca, Aparna Saha, Kinsuk Chauhan, Tielman Van Vleck, Peter Kotanko, Hanjie Zhang, Anna Meyring-Wösten, Pattharawin Pattharanitima and Kumardeep Chaudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Lili Chan

71 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lili Chan United States 20 489 242 200 171 129 82 1.2k
Chava L. Ramspek Netherlands 16 255 0.5× 122 0.5× 177 0.9× 225 1.3× 209 1.6× 33 1.2k
Kyle A. Carey United States 18 195 0.4× 181 0.7× 210 1.1× 555 3.2× 120 0.9× 63 1.2k
Natalie McCormick Canada 23 847 1.7× 149 0.6× 351 1.8× 512 3.0× 361 2.8× 58 2.0k
Hongying Ni China 23 274 0.6× 271 1.1× 346 1.7× 494 2.9× 196 1.5× 53 1.5k
Andrew McGovern United Kingdom 27 176 0.4× 161 0.7× 375 1.9× 390 2.3× 233 1.8× 85 2.4k
Kinsuk Chauhan United States 17 477 1.0× 205 0.8× 201 1.0× 151 0.9× 146 1.1× 48 974
Jamie S. Hirsch United States 20 97 0.2× 107 0.4× 144 0.7× 179 1.0× 140 1.1× 61 1.3k
Micah L. Thorp United States 20 440 0.9× 222 0.9× 178 0.9× 249 1.5× 380 2.9× 49 1.3k
Melissa Soohoo United States 28 1.1k 2.1× 274 1.1× 312 1.6× 173 1.0× 226 1.8× 74 1.8k
Yuan Xu Canada 19 61 0.1× 197 0.8× 224 1.1× 252 1.5× 56 0.4× 79 1.1k

Countries citing papers authored by Lili Chan

Since Specialization
Citations

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

Fields of papers citing papers by Lili Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Chan. A scholar is included among the top collaborators of Lili Chan 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 Lili Chan. Lili Chan 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.
Takkavatakarn, Kullaya, Gopi Patel, Won-Suk Oh, et al.. (2025). Electronic clinical decision support system guided blood culture stewardship in emergency departments: response to the national blood culture media shortage. Infection Control and Hospital Epidemiology. 46(6). 650–653.
2.
Horowitz, Carol R., Lili Chan, Ira Hofer, et al.. (2025). Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study. Journal of Medical Internet Research. 27. e71757–e71757.
3.
Uribarri, Jaime, Murilo Guedes, Lili Chan, et al.. (2024). The Role of Kt/V and Creatinine Clearance on Assisting Optimization of Serum Phosphorus Levels among Patients on Peritoneal Dialysis. Kidney360. 6(1). 105–111. 1 indexed citations
4.
Federman, Alex D., Jacqueline Becker, Mónica Rivera Mindt, et al.. (2024). Relationship Between Cognitive Impairment and Depression Among Middle Aged and Older Adults in Primary Care. Gerontology and Geriatric Medicine. 10. 2622257289–2622257289. 4 indexed citations
5.
Takkavatakarn, Kullaya, Yang Dai, Huei Hsun Wen, et al.. (2024). Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City. PLoS ONE. 19(2). e0297919–e0297919. 1 indexed citations
6.
Takkavatakarn, Kullaya, et al.. (2024). Perceptions Related to Careers in Nephrology on Student Doctor Network Using Natural Language Processing. Kidney International Reports. 9(10). 3057–3061.
7.
Tamhane, Ashutosh, Victor Ortiz-Soriano, Huei Hsun Wen, et al.. (2024). Clinical factors associated with hospital mortality in critically ill adult COVID-19 patients with AKI requiring CRRT: A multicenter study. Clinical Nephrology. 103(2). 96–107. 1 indexed citations
8.
Chan, Lili & Girish N. Nadkarni. (2024). The Role of Artificial Intelligence in Nephrology Clinical Trials. Journal of the American Society of Nephrology. 35(12). 1771–1773. 1 indexed citations
9.
Richardson, Lynne D., et al.. (2024). Leveraging Artificial Intelligence and Data Science for Integration of Social Determinants of Health in Emergency Medicine: Scoping Review. JMIR Medical Informatics. 12. e57124–e57124. 2 indexed citations
10.
Takkavatakarn, Kullaya, et al.. (2023). Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4. BMC Nephrology. 24(1). 376–376. 8 indexed citations
11.
Gutgarts, Victoria, Florin Marcel Musteata, Kinsuk Chauhan, et al.. (2023). Patient-Specific Pharmacokinetics and Dasatinib Nephrotoxicity. Clinical Journal of the American Society of Nephrology. 18(9). 1175–1185. 4 indexed citations
12.
Loftus, Tyler J., Benjamin Shickel, Tezcan Ozrazgat‐Baslanti, et al.. (2022). Artificial intelligence-enabled decision support in nephrology. Nature Reviews Nephrology. 18(7). 452–465. 49 indexed citations
13.
Chauhan, Kinsuk, Pattharawin Pattharanitima, Federica Piani, et al.. (2021). Prevalence and Outcomes Associated with Hyperuricemia in Hospitalized Patients with COVID-19. Journal of the American Society of Nephrology. 32(10S). 77–77.
14.
Boyle, Suzanne M., Lili Chan, Hitesh H. Shah, et al.. (2021). Impact of the COVID-19 Pandemic on Nephrology Fellow Training and Well-Being in the United States: A National Survey. Journal of the American Society of Nephrology. 32(5). 1236–1248. 10 indexed citations
15.
Chan, Lili, et al.. (2021). Breakthrough COVID-19 Infection in Hemodialysis Patients Following mRNA-1273 (Moderna) Vaccine Administration. Journal of the American Society of Nephrology. 32(10S). 98–98.
16.
Chan, Lili, Girish N. Nadkarni, James R. McCullough, et al.. (2021). Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease. Diabetologia. 64(7). 1504–1515. 92 indexed citations
17.
Chaudhary, Kumardeep, Akhil Vaid, Áine Duffy, et al.. (2020). Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury. Clinical Journal of the American Society of Nephrology. 15(11). 1557–1565. 66 indexed citations
18.
Chan, Lili, Kinsuk Chauhan, Áine Duffy, et al.. (2019). Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients. Kidney International. 97(2). 383–392. 30 indexed citations
19.
Wen, Yumeng, Onur Potok, Xin Wei, et al.. (2019). Exclusion of Persons with Kidney Disease in Trials of Peripheral Artery Disease. Clinical Journal of the American Society of Nephrology. 15(1). 117–119. 2 indexed citations
20.
Meyring-Wösten, Anna, Hanjie Zhang, Xiaoling Ye, et al.. (2016). Intradialytic Hypoxemia and Clinical Outcomes in Patients on Hemodialysis. Clinical Journal of the American Society of Nephrology. 11(4). 616–625. 53 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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