Kristina Yim

3.1k citations
13 papers · 1.5k indexed · 2 hit papers · h-index 7
Topics
Single-cell and spatial transcriptomics (7 papers)Cell Image Analysis Techniques (4 papers)Gene expression and cancer classification (2 papers)

In The Last Decade

Kristina Yim

11 papers receiving 1.5k citations

Hit Papers

Recovering Gene Interactions from Single-Cell Data Using ...201820262020202320182019250500750

Peers

Kristina Yim
Comparison fields: 5 of 132
  • Molecular Biology 1.1k
  • Immunology 268
  • Cancer Research 266
  • Biophysics 201
  • Oncology 178
Replace Pooja Kathail with:
Pooja Kathail United States
Adam Gayoso United States
Zhiliang Bai United States
Ludvig Larsson Sweden
Lukas M. Weber United States
Zhicheng Ji United States
Malte D. Luecken Germany
Gökçen Eraslan United States
Roshan Sharma United States
Jeffrey Regier United States
Kristina Yim relative to Pooja Kathail United States Pooja Kathail's profile →
Citations per field
00.5×1.6×
Pooja Kathail · 1×
Citations per year

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

13 of 13 papers shown
#WorkIndexed citations
1 0
2 4
3 3
4 6
5 3
6 11
7
Visualizing structure and transitions in high-dimensional biological databreakdown →
524
8 21
9
Recovering Gene Interactions from Single-Cell Data Using Data Diffusionbreakdown →
945
10 4
11 10
12 10
13 0

About Kristina Yim

Kristina Yim is a scholar working on Biophysics, History and Philosophy of Science and Molecular Biology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biophysics (201 citations), Cancer Research (266 citations) and Molecular Biology (1.1k citations). Kristina Yim has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Smita Krishnaswamy, Kevin R. Moon, Guy Wolf, David van Dijk, Cassandra Burdziak, Dana Pe’er, Linas Mažutis, Brian Bierie, Diwakar R. Pattabiraman and Pooja Kathail. Their work appears in journals such as Cell, Nature Biotechnology and Cancer Research.

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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