Kyle W. Karhohs

4.7k total citations · 3 hit papers
14 papers, 2.7k citations indexed

About

Kyle W. Karhohs is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Kyle W. Karhohs has authored 14 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Biophysics. Recurrent topics in Kyle W. Karhohs's work include Cancer-related Molecular Pathways (4 papers), Cell Image Analysis Techniques (4 papers) and DNA Repair Mechanisms (3 papers). Kyle W. Karhohs is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Cell Image Analysis Techniques (4 papers) and DNA Repair Mechanisms (3 papers). Kyle W. Karhohs collaborates with scholars based in United States, Switzerland and Germany. Kyle W. Karhohs's co-authors include Anne E. Carpenter, Shantanu Singh, Claire McQuin, Tim Becker, Allen Goodman, Galit Lahav, Beth A. Cimini, Minh Doan, Jeremy E. Purvis and Eric Batchelor and has published in prestigious journals such as Science, Molecular Cell and Nature Methods.

In The Last Decade

Kyle W. Karhohs

14 papers receiving 2.7k citations

Hit Papers

align trajectories

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.

CellProfiler 3.0: Next-generation image processing for biology

2018 1.2k citations Claire McQuin, Allen Goodman et al. PLoS Biology profile →
p53 Dynamics Control Cell Fate

2012 592 citations Jeremy E. Purvis, Kyle W. Karhohs et al. Science profile →
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

2019 463 citations Juan C. Caicedo, Allen Goodman et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle W. Karhohs United States	10	1.5k	850	404	344	332	14	2.7k
Allen Goodman United States	12	1.4k 1.0×	1.1k 1.3×	242 0.6×	409 1.2×	415 1.3×	18	3.1k
Beth A. Cimini United States	16	3.0k 2.0×	1.1k 1.3×	293 0.7×	328 1.0×	309 0.9×	44	4.6k
Carolina Wählby Sweden	26	1.7k 1.1×	943 1.1×	194 0.5×	475 1.4×	445 1.3×	101	3.2k
Joseph Chang United States	12	2.5k 1.7×	1.3k 1.6×	349 0.9×	242 0.7×	220 0.7×	13	4.4k
Tim Becker Germany	15	913 0.6×	865 1.0×	170 0.4×	372 1.1×	365 1.1×	33	2.4k
Lee Kamentsky United States	13	1.5k 1.0×	984 1.2×	246 0.6×	166 0.5×	125 0.4×	21	2.9k
Minh Doan United States	11	920 0.6×	813 1.0×	152 0.4×	330 1.0×	347 1.0×	21	2.1k
Claire McQuin United States	8	877 0.6×	870 1.0×	142 0.4×	369 1.1×	377 1.1×	10	2.0k
Carsten Marr Germany	27	1.6k 1.1×	543 0.6×	144 0.4×	386 1.1×	341 1.0×	103	3.1k
Shantanu Singh United States	27	1.7k 1.1×	1.8k 2.1×	202 0.5×	452 1.3×	494 1.5×	79	3.8k

Countries citing papers authored by Kyle W. Karhohs

Since Specialization

Citations

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

Fields of papers citing papers by Kyle W. Karhohs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle W. Karhohs. 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 Kyle W. Karhohs. The network helps show where Kyle W. Karhohs may publish in the future.

Co-authorship network of co-authors of Kyle W. Karhohs

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

All Works

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14 of 14 papers shown

Berryer, Martin H., Gizem Rizki, Kristina M. Holton, et al.. (2023). High-content synaptic phenotyping in human cellular models reveals a role for BET proteins in synapse assembly. eLife. 12. 5 indexed citations

Way, Gregory P., Ted Natoli, Lev Litichevskiy, et al.. (2022). Morphology and gene expression profiling provide complementary information for mapping cell state. Cell Systems. 13(11). 911–923.e9. 55 indexed citations

Roet, Kasper C. D., Xuan Huang, Kyle W. Karhohs, et al.. (2021). A multiparametric activity profiling platform for neuron disease phenotyping and drug screening. Molecular Biology of the Cell. 33(6). ar54–ar54. 2 indexed citations

French, Shauna L., Kyle W. Karhohs, Anjana Ray, et al.. (2020). High‐content, label‐free analysis of proplatelet production from megakaryocytes. Journal of Thrombosis and Haemostasis. 18(10). 2701–2711. 11 indexed citations

Tsabar, Michael, Caroline S. Mock, Veena Venkatachalam, et al.. (2020). A Switch in p53 Dynamics Marks Cells That Escape from DSB-Induced Cell Cycle Arrest. Cell Reports. 32(5). 107995–107995. 42 indexed citations

Tsabar, Michael, Caroline S. Mock, Veena Venkatachalam, et al.. (2020). A Switch in p53 Dynamics Marks Cells That Escape from DSB-Induced Cell Cycle Arrest. Cell Reports. 33(6). 108392–108392. 8 indexed citations

Taga, Mariko, Vladislav Petyuk, Charles C. White, et al.. (2020). BIN1 protein isoforms are differentially expressed in astrocytes, neurons, and microglia: neuronal and astrocyte BIN1 are implicated in tau pathology. Molecular Neurodegeneration. 15(1). 44–44. 35 indexed citations

Caicedo, Juan C., Allen Goodman, Kyle W. Karhohs, et al.. (2019). Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl. Nature Methods. 16(12). 1247–1253. 463 indexed citations breakdown →

Shlevkov, Evgeny, Himanish Basu, Mark‐Anthony Bray, et al.. (2019). A High-Content Screen Identifies TPP1 and Aurora B as Regulators of Axonal Mitochondrial Transport. Cell Reports. 28(12). 3224–3237.e5. 25 indexed citations

10.

Cheah, Jaime H., Christian K. Soule, Huiming Ding, et al.. (2019). Identification and local delivery of vasodilators for the reduction of ureteral contractions. Nature Biomedical Engineering. 4(1). 28–39. 5 indexed citations

11.

Caicedo, Juan C., Jonathan Roth, Allen Goodman, et al.. (2019). Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images. Cytometry Part A. 95(9). 952–965. 187 indexed citations

12.

Reyes, José, Jia-Yun Chen, Jacob Stewart-Ornstein, et al.. (2018). Fluctuations in p53 Signaling Allow Escape from Cell-Cycle Arrest. Molecular Cell. 71(4). 581–591.e5. 101 indexed citations

13.

McQuin, Claire, Allen Goodman, Vasiliy S. Chernyshev, et al.. (2018). CellProfiler 3.0: Next-generation image processing for biology. PLoS Biology. 16(7). e2005970–e2005970. 1172 indexed citations breakdown →

14.

Purvis, Jeremy E., Kyle W. Karhohs, Charles Mock, et al.. (2012). p53 Dynamics Control Cell Fate. Science. 336(6087). 1440–1444. 592 indexed citations breakdown →

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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