Michael C. Jin

4.8k total citations
75 papers, 1.3k citations indexed

About

Michael C. Jin is a scholar working on Genetics, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Michael C. Jin has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 16 papers in Pathology and Forensic Medicine and 16 papers in Neurology. Recurrent topics in Michael C. Jin's work include Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (10 papers) and Lymphoma Diagnosis and Treatment (8 papers). Michael C. Jin is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Cancer Genomics and Diagnostics (10 papers) and Lymphoma Diagnosis and Treatment (8 papers). Michael C. Jin collaborates with scholars based in United States, Germany and Switzerland. Michael C. Jin's co-authors include Nick Yee, Jeremy N. Bailenson, Jim Blascovich, Andrew C. Beall, Uchechukwu C. Megwalu, Z. Jason Qian, Tej D. Azad, Anand Veeravagu, Kara D. Meister and Zachary A. Medress and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Blood.

In The Last Decade

Michael C. Jin

67 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Jin United States 15 222 196 178 177 157 75 1.3k
Daniel T. Nagasawa United States 19 67 0.3× 420 2.1× 314 1.8× 318 1.8× 131 0.8× 57 1.2k
Carlito Lagman United States 18 68 0.3× 475 2.4× 212 1.2× 139 0.8× 114 0.7× 77 1.2k
Shin Saito Japan 26 104 0.5× 471 2.4× 299 1.7× 39 0.2× 442 2.8× 137 2.2k
Jay J. Han United States 30 75 0.3× 306 1.6× 119 0.7× 337 1.9× 90 0.6× 91 2.7k
P.H. Reitsma Netherlands 35 125 0.6× 268 1.4× 161 0.9× 556 3.1× 248 1.6× 91 4.8k
Sandrine de Ribaupierre Canada 27 67 0.3× 438 2.2× 127 0.7× 240 1.4× 232 1.5× 166 2.3k
Panayiotis E. Pelargos United States 15 68 0.3× 181 0.9× 99 0.6× 128 0.7× 57 0.4× 43 921
Heshan Liu United States 24 45 0.2× 328 1.7× 57 0.3× 46 0.3× 239 1.5× 70 1.7k
Valerie Johnson United States 24 83 0.4× 87 0.4× 581 3.3× 150 0.8× 92 0.6× 43 2.2k
Peter de Blank United States 20 34 0.2× 96 0.5× 334 1.9× 771 4.4× 230 1.5× 76 1.7k

Countries citing papers authored by Michael C. Jin

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Jin. 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 Michael C. Jin. The network helps show where Michael C. Jin may publish in the future.

Co-authorship network of co-authors of Michael C. Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Jin. A scholar is included among the top collaborators of Michael C. Jin 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 Michael C. Jin. Michael C. Jin 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.
Jin, Michael C., et al.. (2025). Strategies for generating synthetic computed tomography-like imaging from radiographs: A scoping review. Medical Image Analysis. 101. 103454–103454. 5 indexed citations
2.
Jin, Michael C., Ian D. Connolly, Karthik Ravi, et al.. (2024). Unraveling molecular advancements in chordoma tumorigenesis and treatment response: a review of scientific discoveries and clinical implications. Neurosurgical FOCUS. 56(5). E18–E18. 2 indexed citations
3.
Zhou, Zeyi, et al.. (2023). Opioid Usage in Lumbar Disc Herniation Patients with Nonsurgical, Early Surgical, and Late Surgical Treatments. World Neurosurgery. 173. e180–e188. 2 indexed citations
4.
Schroers‐Martin, Joseph G., Joanne Soo, Florian Scherer, et al.. (2023). Tracing Founder Mutations in Circulating and Tissue-Resident Follicular Lymphoma Precursors. Cancer Discovery. 13(6). 1310–1323. 23 indexed citations
5.
Wu, Adela, Michael C. Jin, Hannes Vogel, et al.. (2023). Treatment Course and Outcomes of Intracranial Teratomas in Pediatric Patients: A Retrospective 15-Year Case Series Study. Pediatric Neurosurgery. 58(6). 429–438.
6.
Jin, Michael C., Allen L. Ho, Austin Y. Feng, et al.. (2022). Prediction of Discharge Status and Readmissions after Resection of Intradural Spinal Tumors. Neurospine. 19(1). 133–145. 7 indexed citations
7.
Jin, Michael C., Tej D. Azad, Parastou Fatemi, et al.. (2021). Defining and describing treatment heterogeneity in new-onset idiopathic lower back and extremity pain through reconstruction of longitudinal care sequences. The Spine Journal. 21(12). 1993–2002. 3 indexed citations
8.
Rodrigues, Adrian, et al.. (2021). High-quality neurosurgeon communication and visualization during telemedicine encounters improves patient satisfaction. Journal of Clinical Neuroscience. 94. 18–23. 4 indexed citations
9.
Jin, Michael C., Adrian Rodrigues, Michael Jensen, & Anand Veeravagu. (2021). A Discussion of Machine Learning Approaches for Clinical Prediction Modeling. Acta neurochirurgica. Supplementum. 134. 65–73. 3 indexed citations
10.
Feng, Austin Y., Eric S. Sussman, Michael C. Jin, et al.. (2021). Intraoperative Neuromonitoring for Cerebral Arteriovenous Malformation Embolization: A Propensity-Score Matched Retrospective Database Study. Cureus. 13(1). e12946–e12946. 3 indexed citations
11.
Rodrigues, Adrian, Michael C. Jin, & Arjun V. Pendharkar. (2021). Epidemiological and Treatment Trends for Acute Ischemic Stroke Preceding and during the COVID-19 Pandemic. Cerebrovascular Diseases. 51(2). 165–168. 4 indexed citations
12.
Feng, Austin Y., César A. Garcia, Michael C. Jin, et al.. (2021). An Analysis of Public Interest in Elective Neurosurgical Procedures During the COVID-19 Pandemic Through Online Search Engine Trends. World Neurosurgery. 148. e282–e293. 1 indexed citations
13.
Shi, Siyu, et al.. (2020). Neurological adverse effects due to programmed death 1 (PD-1) inhibitors. Journal of Neuro-Oncology. 148(2). 291–297. 7 indexed citations
14.
Jin, Michael C., Allen L. Ho, Austin Y. Feng, et al.. (2020). Predictive modeling of long-term opioid and benzodiazepine use after intradural tumor resection. The Spine Journal. 21(10). 1687–1699. 7 indexed citations
15.
16.
Sussman, Eric S., Michael C. Jin, Arjun V. Pendharkar, et al.. (2020). Dual antiplatelet therapy after carotid artery stenting: trends and outcomes in a large national database. Journal of NeuroInterventional Surgery. 13(1). 8–13. 20 indexed citations
17.
Jin, Michael C., Siyu Shi, Iris C. Gibbs, et al.. (2020). Evaluating Surgical Resection Extent and Adjuvant Therapy in the Management of Gliosarcoma. Frontiers in Oncology. 10. 337–337. 12 indexed citations
18.
Wu, Adela, Michael C. Jin, Antonio Meola, Hong-Nei Wong, & Steven D. Chang. (2019). Efficacy and toxicity of particle radiotherapy in WHO grade II and grade III meningiomas: a systematic review. Neurosurgical FOCUS. 46(6). E12–E12. 15 indexed citations
19.
Shi, Siyu, Navjot Sandhu, Michael C. Jin, et al.. (2019). Stereotactic Radiosurgery for Resected Brain Metastases: Single-Institutional Experience of Over 500 Cavities. International Journal of Radiation Oncology*Biology*Physics. 106(4). 764–771. 39 indexed citations
20.
Soo, Joanne, Florian Scherer, David M. Kurtz, et al.. (2017). Reproducibility of m7-FLIPI Risk Scores in Follicular Lymphoma Using Tumor Biopsies and Blood Specimens. Blood. 130. 1466. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Daniel T. Nagasawa Breakdown of academic impact, for papers by Carlito Lagman Breakdown of academic impact, for papers by Shin Saito Breakdown of academic impact, for papers by Jay J. Han Breakdown of academic impact, for papers by P.H. Reitsma Breakdown of academic impact, for papers by Sandrine de Ribaupierre Breakdown of academic impact, for papers by Panayiotis E. Pelargos Breakdown of academic impact, for papers by Heshan Liu Breakdown of academic impact, for papers by Valerie Johnson Breakdown of academic impact, for papers by Peter de Blank
Rankless by CCL
2026