Caleb K. Chan

493 total citations
9 papers, 318 citations indexed

About

Caleb K. Chan is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Caleb K. Chan has authored 9 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Caleb K. Chan's work include Erythrocyte Function and Pathophysiology (2 papers), Cellular Mechanics and Interactions (2 papers) and Social Media and Politics (1 paper). Caleb K. Chan is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Cellular Mechanics and Interactions (2 papers) and Social Media and Politics (1 paper). Caleb K. Chan collaborates with scholars based in United States, China and France. Caleb K. Chan's co-authors include Min Liu, Qiang Zhou, Yuhua Xue, Seemay Chou, Bijan Sobhian, Nanhai He, Tom Alber, Monsef Benkirane, Julie A. Theriot and Joanne Hsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Biochemical and Biophysical Research Communications.

In The Last Decade

Caleb K. Chan

8 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caleb K. Chan United States	6	212	63	57	46	32	9	318
Adam Harned United States	11	154 0.7×	12 0.2×	62 1.1×	44 1.0×	17 0.5×	15	299
Markus Hildenbeutel Germany	12	435 2.1×	18 0.3×	28 0.5×	39 0.8×	15 0.5×	14	514
Nikolaos Tsopoulidis Germany	9	150 0.7×	50 0.8×	60 1.1×	68 1.5×	23 0.7×	11	265
Mélanie Chabaud France	6	132 0.6×	28 0.4×	126 2.2×	180 3.9×	18 0.6×	8	384
Peggy Mérida France	12	160 0.8×	58 0.9×	17 0.3×	39 0.8×	85 2.7×	15	325
Christine P. Chan United States	9	214 1.0×	67 1.1×	54 0.9×	60 1.3×	22 0.7×	10	337
Maria Virgilio United States	8	223 1.1×	67 1.1×	24 0.4×	74 1.6×	67 2.1×	14	374
Daniel H. Lin United States	11	929 4.4×	68 1.1×	85 1.5×	69 1.5×	53 1.7×	14	1.1k
Josef Prassler Germany	9	487 2.3×	9 0.1×	129 2.3×	82 1.8×	14 0.4×	13	663
Christophe Vanbelle France	10	222 1.0×	20 0.3×	49 0.9×	24 0.5×	25 0.8×	14	426

Countries citing papers authored by Caleb K. Chan

Since Specialization

Citations

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

Fields of papers citing papers by Caleb K. Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caleb K. Chan. 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 Caleb K. Chan. The network helps show where Caleb K. Chan may publish in the future.

Co-authorship network of co-authors of Caleb K. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Caleb K. Chan. A scholar is included among the top collaborators of Caleb K. Chan 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 Caleb K. Chan. Caleb K. Chan 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:

9 of 9 papers shown

1.

Chan, Caleb K., et al.. (2023). Resuscitation of the Obstetric Patient. Emergency Medicine Clinics of North America. 41(2). 323–335.

2.

Donovan-Maiye, Rory, Eva Maxfield Brown, Caleb K. Chan, et al.. (2022). A deep generative model of 3D single-cell organization. PLoS Computational Biology. 18(1). e1009155–e1009155. 20 indexed citations

3.

Tsai, Tony, Sean R. Collins, Caleb K. Chan, et al.. (2019). Efficient Front-Rear Coupling in Neutrophil Chemotaxis by Dynamic Myosin II Localization. Developmental Cell. 49(2). 189–205.e6. 50 indexed citations

4.

Koslover, Elena F., Caleb K. Chan, & Julie A. Theriot. (2017). Cytoplasmic Flow and Mixing Due to Deformation of Motile Cells. Biophysical Journal. 113(9). 2077–2087. 19 indexed citations

5.

Koslover, Elena F., Caleb K. Chan, & Julie A. Theriot. (2016). Disentangling Random Motion and Flow in a Complex Medium. Biophysical Journal. 110(3). 700–709. 12 indexed citations

6.

Woods, Robert H., et al.. (2016). Motivations for Reading theLeft BehindBook Series: A Uses and Gratifications Analysis. Journal of Media and Religion. 15(2). 63–77. 3 indexed citations

7.

Liu, Min, Joanne Hsu, Caleb K. Chan, Zichong Li, & Qiang Zhou. (2012). The Ubiquitin Ligase Siah1 Controls ELL2 Stability and Formation of Super Elongation Complexes to Modulate Gene Transcription. Molecular Cell. 46(3). 325–334. 54 indexed citations

8.

He, Nanhai, Caleb K. Chan, Bijan Sobhian, et al.. (2011). Human Polymerase-Associated Factor complex (PAFc) connects the Super Elongation Complex (SEC) to RNA polymerase II on chromatin. Proceedings of the National Academy of Sciences. 108(36). E636–45. 156 indexed citations

9.

Venton, D.L., et al.. (1977). Inhibition of nucleotidyl transferase enzymes by metal ions in combination with 5-amino-1-formylisoquinoline thiosemicarbazone. Biochemical and Biophysical Research Communications. 78(2). 547–553. 4 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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