Stephanie Kim

3.2k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Stephanie Kim is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephanie Kim has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephanie Kim's work include Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (4 papers) and Epigenetics and DNA Methylation (4 papers). Stephanie Kim is often cited by papers focused on Protein Structure and Dynamics (7 papers), Machine Learning in Bioinformatics (4 papers) and Epigenetics and DNA Methylation (4 papers). Stephanie Kim collaborates with scholars based in United States, South Korea and Germany. Stephanie Kim's co-authors include Martin Steinegger, Johannes Söding, Michel van Kempen, Jeong-Jae Lee, Charlotte Tumescheit, Milot Mirdita, Cameron L. M. Gilchrist, Steffen Lindert, Justin T. Seffernick and Laura Bauer and has published in prestigious journals such as Science, JAMA and Nucleic Acids Research.

In The Last Decade

Stephanie Kim

28 papers receiving 1.3k citations

Hit Papers

Fast and accurate protein... 2023 2026 2024 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Kim United States 13 914 191 135 134 114 29 1.4k
Bong-Hyun Kim United States 6 1.1k 1.2× 132 0.7× 181 1.3× 147 1.1× 249 2.2× 8 1.4k
Qingping Xu United States 20 1.1k 1.2× 105 0.5× 101 0.7× 291 2.2× 135 1.2× 38 1.4k
Kristoffer Brännström Sweden 23 809 0.9× 77 0.4× 190 1.4× 124 0.9× 79 0.7× 42 1.4k
Jeremiah D. Farelli United States 12 773 0.8× 164 0.9× 58 0.4× 328 2.4× 134 1.2× 20 999
Heather K. Lamb United Kingdom 26 1.1k 1.2× 98 0.5× 180 1.3× 243 1.8× 248 2.2× 62 1.5k
Andreas Bernsel Sweden 10 1.4k 1.6× 122 0.6× 136 1.0× 319 2.4× 68 0.6× 11 1.8k
Damien Lieberherr Switzerland 6 1.0k 1.1× 133 0.7× 345 2.6× 141 1.1× 37 0.3× 9 1.4k
Hye‐Jin Yoon South Korea 23 1.1k 1.2× 93 0.5× 425 3.1× 189 1.4× 143 1.3× 88 1.7k
Ye Gao China 25 952 1.0× 92 0.5× 106 0.8× 385 2.9× 139 1.2× 71 1.6k
Håkan Viklund Sweden 9 1.2k 1.3× 105 0.5× 152 1.1× 231 1.7× 61 0.5× 10 1.5k

Countries citing papers authored by Stephanie Kim

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Kim. A scholar is included among the top collaborators of Stephanie 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 Stephanie Kim. Stephanie 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.
Faure, Guilhem, Makoto Saito, Max E. Wilkinson, et al.. (2025). TIGR-Tas: A family of modular RNA-guided DNA-targeting systems in prokaryotes and their viruses. Science. 388(6746). eadv9789–eadv9789. 17 indexed citations
2.
Kim, Stephanie, et al.. (2025). Targeting α-synuclein translation: Novel PROTEIMERs as 5’-UTR directed inhibitors. Journal of Alzheimer s Disease. 106(3). 1187–1197. 1 indexed citations
3.
Lee, Jihyeon, Hyunbin Kim, Stephanie Kim, et al.. (2024). Discovery of highly active kynureninases for cancer immunotherapy through protein language model. Nucleic Acids Research. 53(1). 4 indexed citations
4.
Harwell, Matthew C., et al.. (2024). The EPA Ecosystem Services Tool Selection Portal. Sustainability. 16(5). 1739–1739.
5.
Kang, Hyun Ju, Donghyo Kim, Stephanie Kim, et al.. (2024). expHRD: an individualized, transcriptome-based prediction model for homologous recombination deficiency assessment in cancer. BMC Bioinformatics. 25(1). 236–236. 2 indexed citations
6.
Kempen, Michel van, Stephanie Kim, Charlotte Tumescheit, et al.. (2023). Fast and accurate protein structure search with Foldseek. Nature Biotechnology. 42(2). 243–246. 956 indexed citations breakdown →
7.
Bordin, Nicola, Ian Sillitoe, Clemens Rauer, et al.. (2023). AlphaFold2 reveals commonalities and novelties in protein structure space for 21 model organisms. Communications Biology. 6(1). 160–160. 44 indexed citations
8.
Kim, Stephanie, Seung Cho Lee, Bumjin Lim, et al.. (2023). DNA methylation biomarkers distinguishing early-stage prostate cancer from benign prostatic hyperplasia. Prostate International. 11(2). 113–121. 12 indexed citations
9.
Kim, Stephanie, et al.. (2023). The art of specimen orientation: Two‐dimensional maps for oropharynx squamous cell carcinoma. Head & Neck. 46(3). 702–707. 1 indexed citations
10.
Bordin, Nicola, Christian Dallago, Michael Heinzinger, et al.. (2022). Novel machine learning approaches revolutionize protein knowledge. Trends in Biochemical Sciences. 48(4). 345–359. 31 indexed citations
11.
Seffernick, Justin T., et al.. (2022). Prediction of Intrinsic Disorder Using Rosetta ResidueDisorder and AlphaFold2. The Journal of Physical Chemistry B. 126(42). 8439–8446. 8 indexed citations
12.
Kim, Stephanie, et al.. (2022). ‘Omics in environmental epidemiological studies of chemical exposures: A systematic evidence map. Environment International. 164. 107243–107243. 21 indexed citations
13.
Kim, Stephanie, et al.. (2022). Harmonization of transcriptomic and methylomic analysis in environmental epidemiology studies for potential application in chemical risk assessment. Environment International. 164. 107278–107278. 4 indexed citations
14.
Kim, Stephanie, Jing Cui, Shili Xu, et al.. (2020). Abstract 554: Histone deacetylase inhibition is synthetically lethal with arginine deprivation in pancreatic cancers with low argininosuccinate synthetase 1 expression. Cancer Research. 80(16_Supplement). 554–554. 1 indexed citations
15.
Kim, Stephanie, Shili Xu, Jing Cui, et al.. (2019). Histone deacetylase inhibition is synthetically lethal with arginine deprivation in pancreatic cancers with low argininosuccinate synthetase 1 expression. Theranostics. 10(2). 829–840. 25 indexed citations
16.
Kim, Stephanie, Melanie L. Aprahamian, & Steffen Lindert. (2019). Improving inverse docking target identification with Z‐score selection. Chemical Biology & Drug Design. 93(6). 1105–1116. 17 indexed citations
17.
Dann, Amanda M., et al.. (2018). Association of Hospital Length of Stay and Complications With Readmission After Open Pancreaticoduodenectomy. JAMA Surgery. 154(1). 88–88. 26 indexed citations
18.
Kim, Stephanie, Justin T. Seffernick, & Steffen Lindert. (2018). Accurately Predicting Disordered Regions of Proteins Using Rosetta ResidueDisorder Application. The Journal of Physical Chemistry B. 122(14). 3920–3930. 17 indexed citations
19.
Kim, Stephanie, Melissa Eliot, Devin C. Koestler, et al.. (2016). Enlarged Leukocyte Referent Libraries can Explain Additional Variance in Blood-Based Epigenome-Wide Association Studies. Epigenomics. 8(9). 1185–1192. 11 indexed citations
20.
Sherry, Christina L., Stephanie Kim, Ryan N. Dilger, et al.. (2010). Sickness behavior induced by endotoxin can be mitigated by the dietary soluble fiber, pectin, through up-regulation of IL-4 and Th2 polarization. Brain Behavior and Immunity. 24(4). 631–640. 77 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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