Jiwei He

601 total citations
26 papers, 409 citations indexed

About

Jiwei He is a scholar working on Surgery, Statistics and Probability and Urology. According to data from OpenAlex, Jiwei He has authored 26 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 10 papers in Statistics and Probability and 7 papers in Urology. Recurrent topics in Jiwei He's work include Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (10 papers) and Advanced Causal Inference Techniques (8 papers). Jiwei He is often cited by papers focused on Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (10 papers) and Advanced Causal Inference Techniques (8 papers). Jiwei He collaborates with scholars based in United States and China. Jiwei He's co-authors include Minghong Ma, John P. Christodouleas, Thomas J. Guzzo, Justin E. Bekelman, S. Bruce Malkowicz, Brian C. Baumann, Wei‐Ting Hwang, Stephen J. O’Keefe, David J. Vaughn and Huikai Tian and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Cancer.

In The Last Decade

Jiwei He

24 papers receiving 404 citations

Peers

Jiwei He
Matthew Anderson United States
Jiwei He
Citations per year, relative to Jiwei He Jiwei He (= 1×) peers Matthew Anderson

Countries citing papers authored by Jiwei He

Since Specialization
Citations

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

Fields of papers citing papers by Jiwei He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiwei He

This figure shows the co-authorship network connecting the top 25 collaborators of Jiwei He. A scholar is included among the top collaborators of Jiwei He 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 Jiwei He. Jiwei He 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.
Wang, Shirley, Massimiliano Russo, Robert J. Glynn, et al.. (2025). A Benchmark, Expand, and Calibration (BenchExCal) Trial Emulation Approach for Using Real‐World Evidence to Support Indication Expansions: Design and Process for a Planned Empirical Evaluation. Clinical Pharmacology & Therapeutics. 117(6). 1820–1828. 3 indexed citations
2.
He, Jiwei, et al.. (2024). Statistical methods to control for confounders in rare disease settings that use external control. Journal of Biopharmaceutical Statistics. 35(4). 1–19. 1 indexed citations
3.
Thai, Thuy Nhu, Almut G. Winterstein, Elizabeth A. Suarez, et al.. (2024). Triple challenges—small sample size in both exposure and control groups to scan rare maternal outcomes in a signal identification approach: a simulation study. American Journal of Epidemiology. 193(12). 1805–1813.
4.
Kim, Yoonhee, et al.. (2023). Statistical methods for handling missing data to align with treatment policy strategy. Pharmaceutical Statistics. 22(4). 650–670. 13 indexed citations
5.
He, Jiwei, et al.. (2022). Retrieved-Dropout-Based multiple imputation for time-to-event data in cardiovascular outcome trials. Journal of Biopharmaceutical Statistics. 33(2). 234–252. 4 indexed citations
6.
He, Jiwei, et al.. (2020). Resampling‐based stepwise multiple testing procedures with applications to clinical trial data. Pharmaceutical Statistics. 20(2). 297–313. 1 indexed citations
7.
He, Jiwei, Alisa J. Stephens‐Shields, & Marshall M. Joffe. (2017). Marginal structural models to estimate the effects of time-varying treatments on clustered outcomes in the presence of interference. Statistical Methods in Medical Research. 28(2). 613–625. 3 indexed citations
8.
Baumann, Brian C., Jiwei He, Wei‐Ting Hwang, et al.. (2016). Validating a Local Failure Risk Stratification for Use in Prospective Studies of Adjuvant Radiation Therapy for Bladder Cancer. International Journal of Radiation Oncology*Biology*Physics. 95(2). 703–706. 14 indexed citations
9.
He, Jiwei, Alisa J. Stephens‐Shields, & Marshall M. Joffe. (2015). Structural Nested Mean Models to Estimate the Effects of Time-Varying Treatments on Clustered Outcomes. The International Journal of Biostatistics. 11(2). 203–222. 7 indexed citations
10.
Challis, Rosemary C., Huikai Tian, Jue Wang, et al.. (2015). An Olfactory Cilia Pattern in the Mammalian Nose Ensures High Sensitivity to Odors. Current Biology. 25(19). 2503–2512. 45 indexed citations
11.
Goldsmith, Benjamin, Brian C. Baumann, Jiwei He, et al.. (2014). Occult Pelvic Lymph Node Involvement in Bladder Cancer: Implications for Definitive Radiation. International Journal of Radiation Oncology*Biology*Physics. 88(3). 603–610. 25 indexed citations
12.
He, Jiwei, et al.. (2014). Olfactory mucosal microstructural changes in a rat model of acute rhinosinusitis with dysosmia. Genetics and Molecular Research. 13(2). 3859–3868. 2 indexed citations
13.
Christodouleas, John P., Brian C. Baumann, Jiwei He, et al.. (2014). Optimizing bladder cancer locoregional failure risk stratification after radical cystectomy using SWOG 8710. Cancer. 120(8). 1272–1280. 47 indexed citations
14.
Baumann, Brian C., Thomas J. Guzzo, Jiwei He, et al.. (2013). Bladder Cancer Patterns of Pelvic Failure: Implications for Adjuvant Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 85(2). 363–369. 37 indexed citations
15.
Baumann, Brian C., Jiwei He, Wei‐Ting Hwang, et al.. (2013). Robust Risk Stratification Model Predicts Local-Regional Recurrence After Radical Cystectomy in Different Patient Cohorts. International Journal of Radiation Oncology*Biology*Physics. 87(2). S82–S82.
16.
He, Jiwei, et al.. (2012). Postnatal experience modulates functional properties of mouse olfactory sensory neurons. European Journal of Neuroscience. 36(4). 2452–2460. 17 indexed citations
17.
Goldsmith, Benjamin, Jiwei He, Thomas J. Guzzo, et al.. (2012). Discordance Between Preoperative and Postoperative Bladder Cancer Location: Implications for Partial-Bladder Radiation. International Journal of Radiation Oncology*Biology*Physics. 85(3). 707–713. 5 indexed citations
18.
Baumann, Brian C., Thomas J. Guzzo, Jiwei He, et al.. (2012). A Novel Risk Stratification to Predict Local-Regional Failures in Urothelial Carcinoma of the Bladder After Radical Cystectomy. International Journal of Radiation Oncology*Biology*Physics. 85(1). 81–88. 41 indexed citations
19.
Baumann, Brian C., Thomas J. Guzzo, Jiwei He, et al.. (2012). Bladder cancer patterns of pelvic failure: Implications for adjuvant radiation therapy.. Journal of Clinical Oncology. 30(5_suppl). 293–293. 1 indexed citations
20.
He, Jiwei, et al.. (2011). Olfactory Marker Protein Is Critical for Functional Maturation of Olfactory Sensory Neurons and Development of Mother Preference. Journal of Neuroscience. 31(8). 2974–2982. 81 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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