Christopher Sears

2.0k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Christopher Sears is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Christopher Sears has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Artificial Intelligence. Recurrent topics in Christopher Sears's work include Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Acute Myeloid Leukemia Research (2 papers). Christopher Sears is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), AI in cancer detection (3 papers) and Acute Myeloid Leukemia Research (2 papers). Christopher Sears collaborates with scholars based in United States, Germany and United Kingdom. Christopher Sears's co-authors include D. Gary Gilliland, Scott A. Armstrong, Benjamin H. Lee, Brian J.P. Huntly, Ramya Kollipara, Suzan Lazo-Kallanian, Diego H. Castrillón, Zuzana Tóthová, Ronald A. DePinho and Emmanuelle Passegué and has published in prestigious journals such as Cell, Journal of Biological Chemistry and JNCI Journal of the National Cancer Institute.

In The Last Decade

Christopher Sears

12 papers receiving 1.5k 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.

FoxOs Are Critical Mediators of Hematopoietic Stem Cell Resistance to Physiologic Oxidative Stress

2007 1.2k citations Zuzana Tóthová, Ramya Kollipara et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Sears United States	8	989	430	285	216	180	12	1.6k
Suzan Lazo-Kallanian United States	5	903 0.9×	453 1.1×	337 1.2×	183 0.8×	185 1.0×	9	1.5k
Mary Mohrin United States	9	1.3k 1.3×	600 1.4×	357 1.3×	233 1.1×	299 1.7×	11	2.1k
Viktor Janzen Germany	13	1.2k 1.2×	449 1.0×	358 1.3×	199 0.9×	336 1.9×	24	1.9k
Stephanie Z. Xie United States	14	930 0.9×	355 0.8×	242 0.8×	237 1.1×	224 1.2×	22	1.6k
Carolina L. Bigarella United States	15	791 0.8×	227 0.5×	239 0.8×	169 0.8×	180 1.0×	25	1.4k
Dana E. Cullen United States	11	1.5k 1.5×	751 1.7×	320 1.1×	251 1.2×	329 1.8×	15	2.2k
Deqiang Sun United States	20	1.0k 1.0×	446 1.0×	373 1.3×	276 1.3×	159 0.9×	38	1.6k
Rebecca Hannah United Kingdom	20	1.7k 1.8×	619 1.4×	496 1.7×	207 1.0×	141 0.8×	32	2.3k
Eul‐Ju Seo South Korea	24	796 0.8×	491 1.1×	135 0.5×	106 0.5×	285 1.6×	116	1.9k
Brian Theisen United States	8	848 0.9×	349 0.8×	208 0.7×	195 0.9×	472 2.6×	19	1.4k

Countries citing papers authored by Christopher Sears

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Sears

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Sears

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

12 of 12 papers shown

Chalfant, James S, Lucy Chow, Christopher Sears, et al.. (2025). Mammographic classification of interval breast cancers and artificial intelligence performance. JNCI Journal of the National Cancer Institute. 117(8). 1627–1638. 5 indexed citations

Sears, Christopher, et al.. (2025). Commercial Artificial Intelligence Versus Radiologists: NPV and Recall Rate in Large Population-Based Digital Mammography and Tomosynthesis Screening Mammography Cohorts. American Journal of Roentgenology. 225(6). e2532889–e2532889. 2 indexed citations

Sears, Christopher, et al.. (2024). External Validation of a Commercial Artificial Intelligence Algorithm on a Diverse Population for Detection of False Negative Breast Cancers. Journal of Breast Imaging. 7(1). 16–26. 3 indexed citations

Sears, Christopher, et al.. (2019). Artificially intelligent scoring and classification engine for forensic identification. Forensic Science International Genetics. 44. 102162–102162. 9 indexed citations

Gill, Ritu R., Yifan Zheng, Jagadeesan Jayender, et al.. (2015). Image‐guided video assisted thoracoscopic surgery (iVATS) ‐ phase I‐II clinical trial. Journal of Surgical Oncology. 112(1). 18–25. 63 indexed citations

Kvinlaug, Brynn T., Lars Bullinger, Mukundhan Ramaswami, et al.. (2011). Common and Overlapping Oncogenic Pathways Contribute to the Evolution of Acute Myeloid Leukemias. Cancer Research. 71(12). 4117–4129. 37 indexed citations

Mercher, Thomas, Melanie Cornejo, Christopher Sears, et al.. (2008). Notch Signaling Specifies Megakaryocyte Development from Hematopoietic Stem Cells. Cell stem cell. 3(3). 314–326. 101 indexed citations

Tóthová, Zuzana, Ramya Kollipara, Brian J.P. Huntly, et al.. (2007). FoxOs Are Critical Mediators of Hematopoietic Stem Cell Resistance to Physiologic Oxidative Stress. Cell. 128(2). 325–339. 1223 indexed citations breakdown →

Leclair, Benoît, Robert C. Shaler, George R. Carmody, et al.. (2007). Bioinformatics and Human Identification in Mass Fatality Incidents: The World Trade Center Disaster*. Journal of Forensic Sciences. 52(4). 806–819. 30 indexed citations

10.

Sears, Christopher & Scott A. Armstrong. (2006). Microarrays to Identify New Therapeutic Strategies for Cancer. Advances in cancer research. 96. 51–74. 12 indexed citations

11.

Sears, Christopher, James Olesen, David M. Rubin, Daniel Finley, & Tom Maniatis. (1998). NF-κB p105 Processing via the Ubiquitin-Proteasome Pathway. Journal of Biological Chemistry. 273(3). 1409–1419. 76 indexed citations

12.

Sears, Christopher, et al.. (1966). Effect of weightlessness upon the normal nystagmic reaction.. PubMed. 37(7). 719–21. 5 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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