Weiming Shi

3.2k total citations · 1 hit paper
6 papers, 2.4k citations indexed

About

Weiming Shi is a scholar working on Oncology, Genetics and Epidemiology. According to data from OpenAlex, Weiming Shi has authored 6 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Weiming Shi's work include Glioma Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Weiming Shi is often cited by papers focused on Glioma Diagnosis and Treatment (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). Weiming Shi collaborates with scholars based in United States, United Kingdom and China. Weiming Shi's co-authors include Daryl R. Fourney, Frederick F. Lang, Samuel J. Hassenbusch, Dima Abi-Said, Raymond Sawaya, Ian E. McCutcheon, Daniel J. Miller, Eric C. Holland, Ziya L. Gokaslan and Michel Lacroix and has published in prestigious journals such as Journal of neurosurgery, International Journal of Radiation Oncology*Biology*Physics and Atherosclerosis.

In The Last Decade

Weiming Shi

6 papers receiving 2.4k citations

Hit Papers

A multivariate analysis of 416 patients with glioblastoma... 2001 2026 2009 2017 2001 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival
    2001 2.3k citations Michel Lacroix, Dima Abi-Said et al. Journal of neurosurgery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Shi United States 5 1.8k 819 791 539 404 6 2.4k
Marion Rapp Germany 26 2.4k 1.3× 610 0.7× 1.1k 1.4× 996 1.8× 314 0.8× 90 2.9k
Friedrich-Wilhelm Kreth Germany 26 1.4k 0.8× 417 0.5× 782 1.0× 734 1.4× 278 0.7× 56 2.0k
F. Dhermain France 28 1.3k 0.7× 506 0.6× 929 1.2× 904 1.7× 223 0.6× 115 2.7k
Adelheid Wöehrer Austria 29 1.1k 0.6× 381 0.5× 477 0.6× 480 0.9× 595 1.5× 97 2.1k
J. C. Tonn Germany 30 2.3k 1.3× 600 0.7× 1.2k 1.5× 982 1.8× 231 0.6× 119 3.6k
Bogdana Suchorska Germany 28 2.1k 1.2× 449 0.5× 1.7k 2.1× 587 1.1× 170 0.4× 61 2.7k
Courtney Kromer United States 5 1.4k 0.8× 562 0.7× 368 0.5× 505 0.9× 191 0.5× 6 2.5k
Hirohito Yano Japan 22 953 0.5× 384 0.5× 549 0.7× 396 0.7× 184 0.5× 86 1.7k
Deborah T. Blumenthal Israel 33 2.3k 1.3× 560 0.7× 781 1.0× 976 1.8× 245 0.6× 120 3.5k
Barbara Kiesel Austria 24 1.3k 0.7× 327 0.4× 383 0.5× 569 1.1× 564 1.4× 92 2.2k

Countries citing papers authored by Weiming Shi

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Shi

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

All Works

6 of 6 papers shown
1.
Berger, Brian B., A. Lavaf, Paul DeRose, et al.. (2023). Patient-Specific Segmentation-Based Treatment Planning vs. NovoTAL for TTFields Therapy in Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). e87–e87. 1 indexed citations
2.
3.
Aloia, Thomas A., Amanda Cooper, Weiming Shi, Jean‐Nicolas Vauthey, & Jeffrey E. Lee. (2014). Reoperative Surgery: A Critical Risk Factor for Complications Inadequately Captured by Operative Reporting and Coding of Lysis of Adhesions. Journal of the American College of Surgeons. 219(1). 143–150. 9 indexed citations
4.
Vadhan‐Raj, Saroj, Xiao Zhou, Kurt C. Sizer, et al.. (2010). Impact of Safety Concerns and Regulatory Changes on the Usage of Erythropoiesis-Stimulating Agents and RBC Transfusions. The Oncologist. 15(12). 1359–1369. 18 indexed citations
5.
Lacroix, Michel, Dima Abi-Said, Daryl R. Fourney, et al.. (2001). A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival. Journal of neurosurgery. 95(2). 190–198. 2259 indexed citations breakdown →
6.

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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2026