James X. Wu

1.6k total citations
75 papers, 899 citations indexed

About

James X. Wu is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, James X. Wu has authored 75 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Surgery, 29 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Oncology. Recurrent topics in James X. Wu's work include Thyroid Cancer Diagnosis and Treatment (27 papers), Thyroid and Parathyroid Surgery (18 papers) and BRCA gene mutations in cancer (8 papers). James X. Wu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (27 papers), Thyroid and Parathyroid Surgery (18 papers) and BRCA gene mutations in cancer (8 papers). James X. Wu collaborates with scholars based in United States, Australia and Denmark. James X. Wu's co-authors include Michael W. Yeh, Masha J. Livhits, Kyle Zanocco, Stephanie Young, F. Charles Brunicardi, Greg D. Sacks, Avital Harari, Aaron J. Dawes, Ning Li and Angela M. Leung and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Annals of Surgery.

In The Last Decade

James X. Wu

70 papers receiving 883 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James X. Wu United States 18 428 321 153 150 128 75 899
Valentina Milani Italy 18 249 0.6× 149 0.5× 51 0.3× 69 0.5× 30 0.2× 57 1.1k
Mehmet Yazıcı Türkiye 17 181 0.4× 197 0.6× 70 0.5× 159 1.1× 28 0.2× 73 978
Alexandra K. Lee United States 18 106 0.2× 411 1.3× 71 0.5× 146 1.0× 83 0.6× 42 961
Mark J. O’Connor United Kingdom 14 113 0.3× 46 0.1× 300 2.0× 92 0.6× 76 0.6× 35 825
Andy Lee United States 11 138 0.3× 212 0.7× 138 0.9× 35 0.2× 156 1.2× 29 771
Hajime Orimo Japan 14 158 0.4× 130 0.4× 139 0.9× 37 0.2× 82 0.6× 62 848
Nilgün Güvener Demirağ Türkiye 19 137 0.3× 337 1.0× 92 0.6× 54 0.4× 41 0.3× 42 763
Masahiko Shimizu Japan 21 385 0.9× 97 0.3× 26 0.2× 117 0.8× 36 0.3× 65 1.2k
Maria Lucia Mascia Italy 13 137 0.3× 210 0.7× 157 1.0× 218 1.5× 74 0.6× 16 956
Jung Min Kim South Korea 19 452 1.1× 862 2.7× 151 1.0× 27 0.2× 114 0.9× 74 1.4k

Countries citing papers authored by James X. Wu

Since Specialization
Citations

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

Fields of papers citing papers by James X. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James X. Wu. 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 James X. Wu. The network helps show where James X. Wu may publish in the future.

Co-authorship network of co-authors of James X. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of James X. Wu. A scholar is included among the top collaborators of James X. Wu 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 James X. Wu. James X. Wu 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.
Ruhle, Brian, Na Eun Kim, Dipti P. Sajed, et al.. (2025). Genetic Testing Referral Rates for Pheochromocytoma and Paraganglioma in an Academic Tertiary Centre. Clinical Endocrinology. 103(2). 147–156.
2.
Lee, Denise, Masha J. Livhits, James X. Wu, et al.. (2024). From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review. The Journal of Clinical Endocrinology & Metabolism. 109(7). 1684–1693. 5 indexed citations
3.
Nikiforov, Yuri E., Marina N. Nikiforova, Abigail I. Wald, et al.. (2024). Association of BRAF V600E Allele Frequency With Clinicopathologic Outcomes in Papillary Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 110(8). 2164–2171. 4 indexed citations
4.
Mao, Yifan, et al.. (2024). The Relationship Between Hospital Safety-Net Burden on Outcomes for High-Volume Thyroid Cancer Surgeons. Thyroid. 35(1). 50–59. 1 indexed citations
5.
Kim, Na Eun, Chi‐Hong Tseng, Shanpeng Li, et al.. (2023). Bethesda III and IV Thyroid Nodules Managed Nonoperatively After Molecular Testing With Afirma GSC or Thyroseq v3. The Journal of Clinical Endocrinology & Metabolism. 108(9). e698–e703. 17 indexed citations
6.
Mao, Yifan, Chi‐Hong Tseng, Jiyoon Kim, et al.. (2023). Rural-Urban Disparities in the Continuum of Thyroid Cancer Care: Analysis of 92,794 Cases. Thyroid. 34(5). 635–645. 3 indexed citations
7.
Chen, Alina, et al.. (2022). Effect of teleconferencing variables on faculty impression of mock residency applicants. Global Surgical Education - Journal of the Association for Surgical Education. 1(1). 50–50. 1 indexed citations
8.
Luff, Marie K., Jiyoon Kim, Chi‐Hong Tseng, et al.. (2022). Racial/ethnic disparities in thyroid cancer in California, 1999–2017. The American Journal of Surgery. 225(2). 298–303. 10 indexed citations
9.
Brenner, Darren M., Brian E. Lacy, Alexander C. Ford, et al.. (2022). Linaclotide Reduced Response Time for Irritable Bowel Syndrome With Constipation Symptoms: Analysis of 4 Randomized Controlled Trials. The American Journal of Gastroenterology. 118(5). 872–879. 5 indexed citations
10.
Wagner, Justin P., James X. Wu, Formosa Chen, et al.. (2021). Persistence of Gender Bias Over Four Decades of Surgical Training. Journal of surgical education. 78(6). 1868–1877. 8 indexed citations
11.
Zhu, Catherine, Ji‐Yoon Kim, Chi‐Hong Tseng, et al.. (2021). Patient-Centered Decision-making for Postoperative Narcotic-Free Endocrine Surgery. JAMA Surgery. 156(11). e214287–e214287. 4 indexed citations
12.
Yeh, Michael W., et al.. (2021). Perioperative pain management for thyroid and parathyroid surgery: A systematic review. The American Journal of Surgery. 223(4). 641–651. 4 indexed citations
13.
Wu, James X., Michael W. Yeh, & Masha J. Livhits. (2019). Most Patients Do Not Require Opioid Medication After Thyroidectomy. Clinical Thyroidology. 31(10). 442–444. 1 indexed citations
14.
Shirali, Aditya S., James X. Wu, Catherine Zhu, et al.. (2019). The Role of Serum Procalcitonin in Predicting Bacterial Sepsis in Patients With Hypothyroidism. The Journal of Clinical Endocrinology & Metabolism. 104(12). 5915–5922. 5 indexed citations
15.
Wu, James X., Melissa Assel, Andrew J. Vickers, et al.. (2019). Impact of intraoperative remifentanil on postoperative pain and opioid use in thyroid surgery. Journal of Surgical Oncology. 120(8). 1456–1461. 13 indexed citations
16.
Sho, Shonan, Michael W. Yeh, Masha J. Livhits, et al.. (2016). Prospective Validation of Two 4D-CT–Based Scoring Systems for Prediction of Multigland Disease in Primary Hyperparathyroidism. American Journal of Neuroradiology. 37(12). 2323–2327. 17 indexed citations
17.
Zanocco, Kyle, James X. Wu, & Michael W. Yeh. (2016). Parathyroidectomy for asymptomatic primary hyperparathyroidism: A revised cost-effectiveness analysis incorporating fracture risk reduction. Surgery. 161(1). 16–24. 51 indexed citations
18.
Wu, James X., et al.. (2015). Pancreatic Oncocytic Intraductal Papillary Mucinous Neoplasms: Three Case Reports and Review of Cases in Literature. JOP, journal of the pancreas. 16(6). 1 indexed citations
19.
20.

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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