Michael T. Kim

453 total citations
10 papers, 355 citations indexed

About

Michael T. Kim is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Michael T. Kim has authored 10 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Michael T. Kim's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (8 papers) and HER2/EGFR in Cancer Research (4 papers). Michael T. Kim is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (8 papers) and HER2/EGFR in Cancer Research (4 papers). Michael T. Kim collaborates with scholars based in United States, Switzerland and Germany. Michael T. Kim's co-authors include Yan Chen, Fred Jacobson, Aditya A. Wakankar, Maria Feeney, Vikas Sharma, Javier Rivera, Davy Guillarme, Alexandre Goyon, Lu Dai and Cinzia Stella and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Journal of Pharmaceutical Sciences.

In The Last Decade

Michael T. Kim

10 papers receiving 329 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 T. Kim United States 6 260 194 194 44 34 10 355
Dian Su United States 11 223 0.9× 184 0.9× 201 1.0× 25 0.6× 27 0.8× 16 363
Chetana Rao United States 7 175 0.7× 131 0.7× 167 0.9× 15 0.3× 10 0.3× 20 283
Christine Gu United States 9 99 0.4× 118 0.6× 112 0.6× 14 0.3× 32 0.9× 19 238
Anna Pustilnik United States 7 223 0.9× 241 1.2× 75 0.4× 25 0.6× 18 0.5× 7 349
Eric Sousa United States 8 130 0.5× 237 1.2× 108 0.6× 21 0.5× 125 3.7× 9 436
Yuri Takada Japan 7 191 0.7× 279 1.4× 217 1.1× 22 0.5× 11 0.3× 17 474
Andrew J. Counsell United Kingdom 5 213 0.8× 186 1.0× 213 1.1× 20 0.5× 11 0.3× 8 375
Anthony Ehkirch France 15 336 1.3× 359 1.9× 194 1.0× 82 1.9× 232 6.8× 18 595
Carl Ng United States 8 185 0.7× 144 0.7× 132 0.7× 13 0.3× 19 0.6× 10 266
Marie-Claire Janin-Bussat France 8 318 1.2× 249 1.3× 189 1.0× 38 0.9× 115 3.4× 8 407

Countries citing papers authored by Michael T. Kim

Since Specialization
Citations

This map shows the geographic impact of Michael T. 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 Michael T. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Kim more than expected).

Fields of papers citing papers by Michael T. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Kim. A scholar is included among the top collaborators of Michael T. 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 Michael T. Kim. Michael T. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chan, Phyllis, Zhilan Hu, Amy Shen, et al.. (2022). C-Terminal Lysine Processing of IgG in Human Suction Blister Fluid: Implications for Subcutaneous Administration. Molecular Pharmaceutics. 19(11). 4043–4054. 5 indexed citations
2.
Kim, Michael T., et al.. (2021). In Vivo Reoxidation Kinetics of Free Thiols in Multiple Domains of IgG1 Antibodies in Rats. Journal of Pharmaceutical Sciences. 110(5). 1989–1996. 1 indexed citations
4.
Chen, Yan, et al.. (2020). Identification and quantitation of hinge cysteinylation on endogenous IgG2 antibodies from human serum. mAbs. 12(1). 1854923–1854923. 3 indexed citations
5.
Goyon, Alexandre, Michael T. Kim, Lu Dai, et al.. (2019). Streamlined Characterization of an Antibody–Drug Conjugate by Two-Dimensional and Four-Dimensional Liquid Chromatography/Mass Spectrometry. Analytical Chemistry. 91(23). 14896–14903. 41 indexed citations
6.
Tsai, Tsung‐Heng, Zhiqi Hao, Qiuting Hong, et al.. (2017). Statistical characterization of therapeutic protein modifications. Scientific Reports. 7(1). 7896–7896. 3 indexed citations
7.
Chen, Yan, Michael T. Kim, Laura Zheng, Galahad Deperalta, & Fred Jacobson. (2016). Structural Characterization of Cross-Linked Species in Trastuzumab Emtansine (Kadcyla). Bioconjugate Chemistry. 27(9). 2037–2047. 27 indexed citations
8.
Kim, Michael T., et al.. (2014). Statistical Modeling of the Drug Load Distribution on Trastuzumab Emtansine (Kadcyla), a Lysine-Linked Antibody Drug Conjugate. Bioconjugate Chemistry. 25(7). 1223–1232. 115 indexed citations
9.
Wakankar, Aditya A., Maria Feeney, Javier Rivera, et al.. (2010). Physicochemical Stability of the Antibody−Drug Conjugate Trastuzumab-DM1: Changes due to Modification and Conjugation Processes. Bioconjugate Chemistry. 21(9). 1588–1595. 146 indexed citations
10.
Peloquin, Charles A., et al.. (1994). Pharmacokinetic Evaluation of Aconiazide, A Potentially Less Toxic Isoniazid Prodrug. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 14(4). 415–423. 11 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

Rankless by CCL
2026