Kristina Yim

3.1k total citations · 2 hit papers
13 papers, 1.5k citations indexed

About

Kristina Yim is a scholar working on Molecular Biology, Biophysics and Genetics. According to data from OpenAlex, Kristina Yim has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Biophysics and 2 papers in Genetics. Recurrent topics in Kristina Yim's work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (2 papers). Kristina Yim is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (2 papers). Kristina Yim collaborates with scholars based in United States, Canada and Australia. Kristina Yim's co-authors include Smita Krishnaswamy, Kevin R. Moon, Guy Wolf, David van Dijk, Diwakar R. Pattabiraman, Linas Mažutis, Pooja Kathail, Cassandra Burdziak, Roshan Sharma and Brian Bierie and has published in prestigious journals such as Cell, Nature Biotechnology and Cancer Research.

In The Last Decade

Kristina Yim

11 papers receiving 1.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

2018 945 citations David van Dijk, Roshan Sharma et al. Cell profile →
Visualizing structure and transitions in high-dimensional biological data

2019 524 citations Kevin R. Moon, David van Dijk et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kristina Yim United States	7	1.1k	268	266	201	178	13	1.5k
Kevin R. Moon United States	12	1.4k 1.2×	293 1.1×	331 1.2×	307 1.5×	198 1.1×	39	2.1k
Guy Wolf United States	11	1.5k 1.3×	299 1.1×	348 1.3×	321 1.6×	200 1.1×	59	2.1k
Zhicheng Ji United States	18	978 0.9×	160 0.6×	258 1.0×	163 0.8×	82 0.5×	61	1.4k
Adam Gayoso United States	9	1.4k 1.2×	350 1.3×	276 1.0×	318 1.6×	106 0.6×	14	1.6k
Lukas M. Weber United States	16	1.3k 1.2×	370 1.4×	159 0.6×	254 1.3×	158 0.9×	34	1.8k
Malte D. Luecken Germany	11	1.8k 1.6×	435 1.6×	394 1.5×	387 1.9×	164 0.9×	18	2.2k
Amanda Larson Gedman United States	6	976 0.9×	475 1.8×	170 0.6×	275 1.4×	263 1.5×	7	1.5k
Anjun Ma United States	24	1.6k 1.5×	152 0.6×	313 1.2×	186 0.9×	114 0.6×	58	2.2k
Jeffrey Regier United States	8	1.4k 1.3×	274 1.0×	298 1.1×	402 2.0×	72 0.4×	14	1.7k
Philipp S. Hoppe Switzerland	18	846 0.8×	394 1.5×	160 0.6×	241 1.2×	178 1.0×	24	1.6k

Countries citing papers authored by Kristina Yim

Since Specialization

Citations

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

Fields of papers citing papers by Kristina Yim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Yim

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

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Noble, Mark, et al.. (2025). Resolving the three-dimensional interactome of human accelerated regions during human and chimpanzee neurodevelopment. Cell. 188(6). 1504–1523.e27. 4 indexed citations

Yim, Kristina, et al.. (2025). Cell-type-specific dysregulation of gene expression due to Chd8 haploinsufficiency during mouse cortical development. Cell Genomics. 5(11). 100986–100986.

Uebbing, Severin, et al.. (2024). CpG island turnover events predict evolutionary changes in enhancer activity. Genome biology. 25(1). 156–156. 3 indexed citations

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2020). Author Correction: Visualizing structure and transitions in high-dimensional biological data. Nature Biotechnology. 38(1). 108–108. 6 indexed citations

Tong, Alexander, David van Dijk, Jay S. Stanley, et al.. (2020). Interpretable Neuron Structuring with Graph Spectral Regularization. Lecture notes in computer science. 12080. 509–521. 3 indexed citations

Shin, Min Sun, Dongjoo Kim, Kristina Yim, et al.. (2020). IL-7 receptor alpha defines heterogeneity and signature of human effector memory CD8+ T cells in high dimensional analysis. Cellular Immunology. 355. 104155–104155. 11 indexed citations

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2019). Visualizing structure and transitions in high-dimensional biological data. Nature Biotechnology. 37(12). 1482–1492. 524 indexed citations breakdown →

Shin, Min Sun, Kristina Yim, Kevin R. Moon, et al.. (2019). Dissecting alterations in human CD8+ T cells with aging by high-dimensional single cell mass cytometry. Clinical Immunology. 200. 24–30. 21 indexed citations

Dijk, David van, Roshan Sharma, Juozas Nainys, et al.. (2018). Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. Cell. 174(3). 716–729.e27. 945 indexed citations breakdown →

10.

Amodio, Matthew, Krishnan Srinivasan, David van Dijk, et al.. (2018). Abstract 5306: SAUCIE: Sparse autoencoder for unsupervised clustering, imputation, and embedding. Cancer Research. 78(13_Supplement). 5306–5306. 4 indexed citations

11.

Moon, Kevin R., David van Dijk, Zheng Wang, et al.. (2018). Visualizing Structure and Transitions for Biological Data Exploration. SSRN Electronic Journal. 10 indexed citations

12.

Dijk, David van, Roshan Sharma, Kristina Yim, et al.. (2018). Recovering Gene Interactions from Single-Cell Data Using Data Diffusion. SSRN Electronic Journal. 10 indexed citations

13.

Yim, Kristina, et al.. (2016). Battle of the Bacteria: Characterizing the Evolutionary Advantage of Stationary Phase Growth. Journal of Microbiology and Biology Education. 17(2). 261–268.

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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