Ming S. Lee

912 total citations
22 papers, 691 citations indexed

About

Ming S. Lee is a scholar working on Transportation, Oncology and Building and Construction. According to data from OpenAlex, Ming S. Lee has authored 22 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Transportation, 7 papers in Oncology and 5 papers in Building and Construction. Recurrent topics in Ming S. Lee's work include Urban Transport and Accessibility (8 papers), Transportation Planning and Optimization (7 papers) and Lymphoma Diagnosis and Treatment (4 papers). Ming S. Lee is often cited by papers focused on Urban Transport and Accessibility (8 papers), Transportation Planning and Optimization (7 papers) and Lymphoma Diagnosis and Treatment (4 papers). Ming S. Lee collaborates with scholars based in United States, United Kingdom and Peru. Ming S. Lee's co-authors include Robert A. Frankenthaler, Adel K. El‐Naggar, Mario A. Luna, John G. Batsakis, Richard E. Champlin, Jeffrey J. Tarrand, Dimitrios P. Kontoyiannis, Xiang Y. Han, Martin Körbling and Audrey S. Pham and has published in prestigious journals such as Blood, Cancer and Cancer Research.

In The Last Decade

Ming S. Lee

17 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming S. Lee United States 9 309 185 184 163 108 22 691
Chunji Gao China 16 226 0.7× 360 1.9× 99 0.5× 258 1.6× 256 2.4× 77 897
Mai Takeuchi Japan 19 302 1.0× 45 0.2× 249 1.4× 202 1.2× 110 1.0× 57 989
Christian Zietz Germany 14 437 1.4× 53 0.3× 121 0.7× 181 1.1× 25 0.2× 18 783
FJ Bot Netherlands 14 223 0.7× 226 1.2× 104 0.6× 170 1.0× 70 0.6× 24 849
Ryan Ptashkin United States 18 547 1.8× 190 1.0× 281 1.5× 643 3.9× 191 1.8× 39 1.6k
Banerjee United Kingdom 10 254 0.8× 156 0.8× 49 0.3× 171 1.0× 45 0.4× 15 764
Karin de Stricker Denmark 16 290 0.9× 158 0.9× 170 0.9× 346 2.1× 364 3.4× 33 954
Achille Pich Italy 22 358 1.2× 130 0.7× 193 1.0× 439 2.7× 117 1.1× 69 1.4k
W Strober United States 13 152 0.5× 124 0.7× 51 0.3× 148 0.9× 37 0.3× 22 875
Sreenivasulu Gunti United States 8 222 0.7× 58 0.3× 115 0.6× 163 1.0× 168 1.6× 16 685

Countries citing papers authored by Ming S. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ming S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming S. Lee. 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 Ming S. Lee. The network helps show where Ming S. Lee may publish in the future.

Co-authorship network of co-authors of Ming S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ming S. Lee. A scholar is included among the top collaborators of Ming S. Lee 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 Ming S. Lee. Ming S. Lee 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
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2.
Lee, Ming S., et al.. (2023). Identifying Neighborhoods with Cervical Cancer Disparities for Targeted Community Outreach and Engagement by an NCI-Designated Cancer Center: A Geospatial Approach. Cancer Epidemiology Biomarkers & Prevention. 32(10). 1275–1283. 1 indexed citations
3.
4.
Lee, Ming S., et al.. (2016). A case study on multi-lane roundabouts under congestion: Comparing software capacity and delay estimates with field data. Journal of Traffic and Transportation Engineering (English Edition). 3(2). 154–165. 16 indexed citations
5.
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Khouri, Issa F., Rima M. Saliba, Martin Körbling, et al.. (2007). Nonmyeloablative Allogeneic Transplantation (NMT) for Relapsed Follicular Lymphoma (FL): Continuous Complete Remission with Longer Follow-Up.. Blood. 110(11). 485–485. 3 indexed citations
7.
Recker, Wilfred W., Piya Chootinan, Anthony Chen, & Ming S. Lee. (2006). Forecasting Network Traffic for Small and Medium-Sized Communities Using Path Flow Estimator. Transportation Research Board 85th Annual MeetingTransportation Research Board.
8.
Lee, Ming S., et al.. (2006). Modeling Network Traffic for Planning Applications in a Small Community. Journal of Urban Planning and Development. 132(3). 156–159. 7 indexed citations
9.
Ha, Chul S., Fernando Cabanillas, Ming S. Lee, et al.. (2005). A prospective randomized study to compare the molecular response rates between central lymphatic irradiation and intensive alternating triple chemotherapy in the treatment of stage I–III follicular lymphoma. International Journal of Radiation Oncology*Biology*Physics. 63(1). 188–193. 6 indexed citations
10.
May, Gregory S., Audrey S. Pham, Jeffrey J. Tarrand, et al.. (2003). Diagnosis of Invasive Mold Infection by Real-Time Quantitative PCR. American Journal of Clinical Pathology. 119(1). 38–44. 49 indexed citations
11.
Douer, Dan, Sergio Santillana, Laleh Ramezani, et al.. (2003). Acute promyelocytic leukaemia in patients originating in Latin America is associated with an increased frequency of the bcr1 subtype of the PML/RARα fusion gene. British Journal of Haematology. 122(4). 563–570. 43 indexed citations
12.
McNally, Michael G. & Ming S. Lee. (2002). Putting Behavior in Household Travel Behavior Data: An Interactive GIS-Based Survey via the Internet. eScholarship (California Digital Library). 4 indexed citations
13.
Lima, Marcos de, Lisa S. St. John, Eric Wieder, et al.. (2002). Double‐chimaerism after transplantation of two human leucocyte antigen mismatched, unrelated cord blood units. British Journal of Haematology. 119(3). 773–776. 59 indexed citations
14.
Sánchez-Vega, Beatriz, Francisco Vega, L. Jeffrey Medeiros, Ming S. Lee, & Rajyalakshmi Luthra. (2002). Quantification of bcl-2/JH Fusion Sequences and a Control Gene by Multiplex Real-Time PCR Coupled with Automated Amplicon Sizing by Capillary Electrophoresis. Journal of Molecular Diagnostics. 4(4). 223–229. 14 indexed citations
15.
Lee, Ming S., et al.. (2001). Conducting an Interactive Survey of Household Weekly Activities via Internet: Preliminary Results from a Pilot Study. eScholarship (California Digital Library). 1 indexed citations
16.
Lee, Ming S., et al.. (2001). Evaluation of a Shared-Use Electric Vehicle Program: Integrating a Web-Based Survey with In-Vehicle Tracking. eScholarship (California Digital Library). 1 indexed citations
17.
Lee, Ming S. & Michael G. McNally. (2000). Experimenting with a Computerized Self-Administrative Survey: Evaluating a Pilot Study. eScholarship (California Digital Library). 1 indexed citations
18.
Lee, Ming S., et al.. (1999). iCHASE: An Internet Computerized Household Activity Scheduling Elicitor Survey. eScholarship (California Digital Library). 8 indexed citations
19.
Lee, Ming S. & Michael G. McNally. (1998). Application of Space-Time Prisms for the Measurement of Accessibility. eScholarship (California Digital Library). 5 indexed citations
20.
El‐Naggar, Adel K., et al.. (1994). PRAD-1 (CCND1)/Cyclin D1 oncogene amplification in primary head and neck squamous cell carcinoma. Cancer. 74(1). 152–158. 200 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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