Michelle Kim

1.1k total citations
33 papers, 673 citations indexed

About

Michelle Kim is a scholar working on Epidemiology, Surgery and Neurology. According to data from OpenAlex, Michelle Kim has authored 33 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 5 papers in Surgery and 5 papers in Neurology. Recurrent topics in Michelle Kim's work include Pelvic floor disorders treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and MRI in cancer diagnosis (2 papers). Michelle Kim is often cited by papers focused on Pelvic floor disorders treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and MRI in cancer diagnosis (2 papers). Michelle Kim collaborates with scholars based in United States, Australia and China. Michelle Kim's co-authors include Honor Hsin, Corwin D. Nelson, Morgan Sheng, Yelin Chen, Louis M. French, Heather G. Belanger, Tracy Kretzmer, Rodney D. Vanderploeg, Theonest K. Mutabingwa and Virginia Wiseman and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and Immunity.

In The Last Decade

Michelle Kim

30 papers receiving 651 citations

Peers

Michelle Kim
Jacinta Murray United States
Eleanor Roberts United States
Amy Paulino United States
Fabrice Chrétien France
Clifford Lane United States
Moon H. Lee United States
Maryline Santerre United States
Carlos A. Luciano United States
Kathy Conant United States
Carol Anderson United States
Jacinta Murray United States
Michelle Kim
Citations per year, relative to Michelle Kim Michelle Kim (= 1×) peers Jacinta Murray

Countries citing papers authored by Michelle Kim

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Kim. A scholar is included among the top collaborators of Michelle Kim 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 Michelle Kim. Michelle Kim 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.
Kim, Michelle, et al.. (2024). Adipocyte-released adipomes in Chagas cardiomyopathy: Impact on cardiac metabolic and immune regulation. iScience. 27(5). 109672–109672. 2 indexed citations
2.
Kim, Michelle, Anna Sophia McKenney, Joshua Chodosh, et al.. (2024). Sarcopenia Is a Risk Factor for Postoperative Complications Among Older Adults With Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 31(6). 1537–1547. 2 indexed citations
3.
Umemura, Yoshie, Nathan Clarke, Wajd N. Al‐Holou, et al.. (2024). AB036. Targeting glioblastoma de-novo purine metabolism to overcome chemoradiation resistance: an interim result of phase 0/1 clinical trial in newly diagnosed and recurrent glioblastoma. Chinese Clinical Oncology. 13(Suppl 1). AB036–AB036. 1 indexed citations
4.
Faye, Adam S., Michelle Kim, Bari Dane, et al.. (2023). Mo1784 SKELETAL MUSCLE IS A BETTER PREDICTOR OF POSTOPERATIVE OUTCOMES AMONG OLDER ADULTS WITH IBD AS COMPARED TO PSOAS MUSCLE. Gastroenterology. 164(6). S–909. 1 indexed citations
5.
Kim, Michelle, et al.. (2023). Simulated Patient Experiences to Improve Pharmacy Student Empathy for Patients with Chronic Diseases. American Journal of Pharmaceutical Education. 87(8). 100353–100353. 2 indexed citations
6.
Kim, Michelle, Junghwan Kim, & Kristen Johnson. (2023). Race, Gender, and Age Biases in Biomedical Masked Language Models. 11806–11815.
7.
Kim, Michelle, et al.. (2022). Improving Medical Student Inpatient Documentation Through Feedback Using a Note Assessment Tool. Cureus. 14(3). e23369–e23369. 2 indexed citations
8.
Kim, Michelle, et al.. (2021). Multi-Factor Clustering Incorporating Cell Motility Predicts T Cell Expansion Potential. Frontiers in Cell and Developmental Biology. 9. 648925–648925. 5 indexed citations
9.
Norton, Jenna M., et al.. (2021). The Inflection Point Model: A Model to Explore the Hidden Burdens of Non–Cancerous Genitourinary Conditions. Urology. 166. 56–65. 2 indexed citations
10.
Li, Yuan, Michelle Kim, Theodore S. Lawrence, Hemant Parmar, & Yue Cao. (2020). Microstructure Modeling of High b-Value Diffusion-Weighted Images in Glioblastoma. Tomography. 6(1). 34–43. 2 indexed citations
11.
Kim, Michelle & George Matalanis. (2020). Technique and rationale for branch-first total aortic arch repair. JTCVS Techniques. 4. 1–4. 5 indexed citations
12.
Palomo, Gloria M., Veronica Granatiero, Hibiki Kawamata, et al.. (2018). Parkin is a disease modifier in the mutant SOD 1 mouse model of ALS. EMBO Molecular Medicine. 10(10). 65 indexed citations
13.
Kim, Michelle, Rommel G. Tirona, Richard B. Kim, et al.. (2017). Characterization of OATP1B3 and OATP2B1 transporter expression in the islet of the adult human pancreas. Histochemistry and Cell Biology. 148(4). 345–357. 10 indexed citations
14.
Shan, Liang, Kai Deng, Hongbo Gao, et al.. (2017). Transcriptional Reprogramming during Effector-to-Memory Transition Renders CD4+ T Cells Permissive for Latent HIV-1 Infection. Immunity. 47(4). 766–775.e3. 132 indexed citations
15.
Besa, Cecilia, Stephen C. Ward, Yong Cui, et al.. (2016). Neuroendocrine liver metastases: Value of apparent diffusion coefficient and enhancement ratios for characterization of histopathologic grade. Journal of Magnetic Resonance Imaging. 44(6). 1432–1441. 21 indexed citations
16.
Kim, Michelle, Nina N. Hosmane, C. Korin Bullen, et al.. (2014). A primary CD4+ T cell model of HIV-1 latency established after activation through the T cell receptor and subsequent return to quiescence. Nature Protocols. 9(12). 2755–2770. 44 indexed citations
17.
Kim, Sung‐Hee, Jae‐Il Kim, Michelle Kim, et al.. (2013). Anti-inflammatory effect of hexane fraction from Myagropsis myagroides ethanolic extract in lipopolysaccharide-stimulated BV-2 microglial cells. Journal of Pharmacy and Pharmacology. 65(6). 895–906. 18 indexed citations
18.
Nelson, Corwin D., Michelle Kim, Honor Hsin, Yelin Chen, & Morgan Sheng. (2013). Phosphorylation of Threonine-19 of PSD-95 by GSK-3  is Required for PSD-95 Mobilization and Long-Term Depression. Journal of Neuroscience. 33(29). 12122–12135. 108 indexed citations
19.
Alistar, Angela, Max W. Sung, Michelle Kim, & Randall F. Holcombe. (2012). Clinical Pathways for Pancreatic Neuroendocrine Tumors. Journal of Gastrointestinal Cancer. 43(4). 532–540. 6 indexed citations
20.
Belanger, Heather G., et al.. (2011). Symptom Complaints Following Reports of Blast Versus Non-Blast Mild TBI: Does Mechanism of Injury Matter?. The Clinical Neuropsychologist. 25(5). 702–715. 96 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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