Peijin Han

842 total citations
44 papers, 566 citations indexed

About

Peijin Han is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology. According to data from OpenAlex, Peijin Han has authored 44 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 14 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Otorhinolaryngology. Recurrent topics in Peijin Han's work include Head and Neck Cancer Studies (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Advanced Radiotherapy Techniques (11 papers). Peijin Han is often cited by papers focused on Head and Neck Cancer Studies (13 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Advanced Radiotherapy Techniques (11 papers). Peijin Han collaborates with scholars based in United States, China and Japan. Peijin Han's co-authors include Todd McNutt, Harry Quon, Zhi Cheng, Russell K. Hales, Junghoon Lee, Sang Ho Lee, Chen Hu, Michael R. Bowers, Sarah Z. Hazell and Wei Fu and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Clinical Infectious Diseases.

In The Last Decade

Peijin Han

40 papers receiving 562 citations

Peers

Peijin Han
Derek Grose United Kingdom
Toms Vengaloor Thomas United States
Pin Li United States
Alison Smith United Kingdom
Amit Jethanandani United States
Paul Blood Canada
Arti Parekh United States
Derek Grose United Kingdom
Peijin Han
Citations per year, relative to Peijin Han Peijin Han (= 1×) peers Derek Grose

Countries citing papers authored by Peijin Han

Since Specialization
Citations

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

Fields of papers citing papers by Peijin Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijin Han

This figure shows the co-authorship network connecting the top 25 collaborators of Peijin Han. A scholar is included among the top collaborators of Peijin Han 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 Peijin Han. Peijin Han 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.
Li, Chunmei, Ge Song, Yueheng Yin, et al.. (2023). Frailty is associated with worse cognitive functioning in older adults. Frontiers in Psychiatry. 14. 22 indexed citations
2.
Han, Peijin, Sunyang Fu, Richard E. Hughes, et al.. (2022). Multicenter Validation of Natural Language Processing Algorithms for the Detection of Common Data Elements in Operative Notes for Total Hip Arthroplasty: Algorithm Development and Validation. JMIR Medical Informatics. 10(8). e38155–e38155. 6 indexed citations
3.
Hazell, Sarah Z., Wei Fu, Chen Hu, et al.. (2021). Longitudinal Trends of Financial Toxicity in Patients With Lung Cancer: A Prospective Cohort Study. JCO Oncology Practice. 17(8). e1094–e1109. 34 indexed citations
4.
Han, Peijin, Sang Ho Lee, John Haller, et al.. (2021). Improving Early Identification of Significant Weight Loss Using Clinical Decision Support System in Lung Cancer Radiation Therapy. JCO Clinical Cancer Informatics. 5(5). 944–952. 6 indexed citations
5.
Sun, Jing, et al.. (2020). Early Elevation of Fibrosis-4 Liver Fibrosis Score Is Associated With Adverse Outcomes Among Patients With Coronavirus Disease 2019. Clinical Infectious Diseases. 73(3). e594–e601. 14 indexed citations
6.
Hazell, Sarah Z., Wei Fu, Peijin Han, et al.. (2020). Consolidative Radiotherapy in Oligometastatic Lung Cancer: Patient Selection With a Prediction Nomogram. Clinical Lung Cancer. 21(6). e622–e632. 8 indexed citations
7.
Han, Peijin, Russell K. Hales, Zhi Cheng, et al.. (2020). Exploring the Relationship of Radiation Dose Exposed to the Length of Esophagus and Weight Loss in Patients with Lung Cancer. Practical Radiation Oncology. 10(4). 255–264. 4 indexed citations
8.
Fu, Wei, Chen Hu, Sarah Z. Hazell, et al.. (2020). Isolated progression of metastatic lung cancer: Clinical outcomes associated with definitive radiotherapy. Cancer. 126(20). 4572–4583. 11 indexed citations
9.
Lee, Sang Ho, Peijin Han, Russell K. Hales, et al.. (2020). Multi-view radiomics and dosiomics analysis with machine learning for predicting acute-phase weight loss in lung cancer patients treated with radiotherapy. Physics in Medicine and Biology. 65(19). 195015–195015. 45 indexed citations
10.
Deek, Matthew P., Peijin Han, Carole Fakhry, et al.. (2019). Long Term Toxicity and Oncologic Outcomes of De-Intensified Chemoradiation in Early Stage Oropharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 105(1). S215–S216.
11.
Krasin, Matthew J., Peijin Han, Sara R. Alcorn, et al.. (2019). A Multi-Institutional Prospective Phase II Trial of Hypofractionated Stereotactic Body Radiotherapy (SBRT) in the Treatment of Metastatic Pediatric Sarcomas of Bone Sites. International Journal of Radiation Oncology*Biology*Physics. 105(1). S186–S186. 3 indexed citations
12.
Han, Peijin, et al.. (2019). DiabetesSistersVoices: Virtual Patient Community to Identify Research Priorities for Women Living With Diabetes. Journal of Medical Internet Research. 21(5). e13312–e13312. 7 indexed citations
13.
Han, Peijin, Zhi Cheng, Michael R. Bowers, et al.. (2019). Spatial Radiation Dose Influence on Xerostomia Recovery and Its Comparison to Acute Incidence in Patients With Head and Neck Cancer. Advances in Radiation Oncology. 5(2). 221–230. 23 indexed citations
14.
Han, Peijin, et al.. (2019). A TCM acupoints ranking approach towards post-stroke dysphagia based on an improved MCTS decision method. Technology and Health Care. 27(1_suppl). 367–381.
15.
Han, Peijin, Ilya Shpitser, Xuan Hui, et al.. (2019). Dose/Volume histogram patterns in Salivary Gland subvolumes influence xerostomia injury and recovery. Scientific Reports. 9(1). 3616–3616. 30 indexed citations
16.
Han, Peijin, Aurelian Bidulescu, John R. Barber, et al.. (2019). Dietary choline and betaine intakes and risk of total and lethal prostate cancer in the Atherosclerosis Risk in Communities (ARIC) Study. Cancer Causes & Control. 30(4). 343–354. 14 indexed citations
17.
Page, B.R., Peijin Han, Luke Peng, et al.. (2018). Gender Differences in Radiation Therapy Effects in Male and Female Patients With Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 100(5). 1400–1401. 5 indexed citations
18.
Peng, Luke, Amol Narang, Noura Radwan, et al.. (2018). Effects of perineural invasion on biochemical recurrence and prostate cancer-specific survival in patients treated with definitive external beam radiotherapy. Urologic Oncology Seminars and Original Investigations. 36(6). 309.e7–309.e14. 9 indexed citations
19.
Hui, Xuan, Peijin Han, Zhi Cheng, et al.. (2018). Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer. Advances in Radiation Oncology. 4(2). 401–412. 44 indexed citations
20.
Yan, Shumei, et al.. (2014). SIRT3 is a novel prognostic biomarker for esophageal squamous cell carcinoma. Medical Oncology. 31(8). 103–103. 22 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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