Sarah Slaymaker

4.1k total citations · 3 hit papers
7 papers, 3.4k citations indexed

About

Sarah Slaymaker is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Sarah Slaymaker has authored 7 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Sarah Slaymaker's work include Chemokine receptors and signaling (3 papers), Ion channel regulation and function (2 papers) and Autoimmune Neurological Disorders and Treatments (1 paper). Sarah Slaymaker is often cited by papers focused on Chemokine receptors and signaling (3 papers), Ion channel regulation and function (2 papers) and Autoimmune Neurological Disorders and Treatments (1 paper). Sarah Slaymaker collaborates with scholars based in United States, Canada and France. Sarah Slaymaker's co-authors include Israel Charo, Stuart P. Weisberg, Anthony W. Ferrante, Jacob E. Lemieux, Deborah Hunter, Rudolph L. Leibel, Reid Huber, Kris Vaddi, Ara M. Aslanian and Yue Si and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Sarah Slaymaker

7 papers receiving 3.3k citations

Hit Papers

CCR2 modulates inflammatory and metabolic effects of high... 1999 2026 2008 2017 2005 2007 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Slaymaker United States 7 1.5k 1.2k 993 743 535 7 3.4k
Graziano Pelli Switzerland 32 1.5k 1.0× 598 0.5× 1.1k 1.1× 390 0.5× 624 1.2× 52 3.5k
Tripathi B. Rajavashisth United States 25 1.6k 1.1× 675 0.6× 1.4k 1.4× 622 0.8× 432 0.8× 38 4.5k
Fabienne Burger Switzerland 28 1.1k 0.7× 530 0.5× 773 0.8× 333 0.4× 384 0.7× 54 3.0k
Takashi Tobe Japan 29 544 0.4× 1.3k 1.2× 843 0.8× 1.2k 1.6× 417 0.8× 101 3.3k
Rainer Spanbroek Germany 17 2.0k 1.3× 547 0.5× 875 0.9× 394 0.5× 508 0.9× 20 3.4k
Lisa A. Madge United States 21 1.0k 0.7× 723 0.6× 1.2k 1.2× 543 0.7× 453 0.8× 25 3.2k
Christine R. Morel United States 7 2.2k 1.5× 1.6k 1.4× 1.5k 1.6× 1.0k 1.4× 205 0.4× 7 4.1k
Bhama Ramkhelawon United States 30 2.0k 1.4× 928 0.8× 2.3k 2.3× 496 0.7× 290 0.5× 63 5.2k
Divya Vats Switzerland 14 2.0k 1.3× 1.5k 1.3× 1.5k 1.5× 943 1.3× 211 0.4× 22 4.0k
Janine M. van Gils Netherlands 22 1.5k 1.0× 512 0.4× 1.9k 1.9× 354 0.5× 301 0.6× 38 4.2k

Countries citing papers authored by Sarah Slaymaker

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Slaymaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Slaymaker

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

All Works

7 of 7 papers shown
1.
Yan, Wei, Yue Si, Sarah Slaymaker, et al.. (2010). Zmynd15 Encodes a Histone Deacetylase-dependent Transcriptional Repressor Essential for Spermiogenesis and Male Fertility. Journal of Biological Chemistry. 285(41). 31418–31426. 53 indexed citations
2.
Tsou, Chia-Lin, Wendy Peters, Yue Si, et al.. (2007). Critical roles for CCR2 and MCP-3 in monocyte mobilization from bone marrow and recruitment to inflammatory sites. Journal of Clinical Investigation. 117(4). 902–909. 879 indexed citations breakdown →
3.
Weisberg, Stuart P., Deborah Hunter, Reid Huber, et al.. (2005). CCR2 modulates inflammatory and metabolic effects of high-fat feeding. Journal of Clinical Investigation. 116(1). 115–124. 1226 indexed citations breakdown →
4.
Mérad, Miriam, Petra Hoffmann, Erik A. Ranheim, et al.. (2004). Depletion of host Langerhans cells before transplantation of donor alloreactive T cells prevents skin graft-versus-host disease. Nature Medicine. 10(5). 510–517. 248 indexed citations
5.
Gosling, Jennifa, Sarah Slaymaker, Long Gu, et al.. (1999). MCP-1 deficiency reduces susceptibility to atherosclerosis in mice that overexpress human apolipoprotein B. Journal of Clinical Investigation. 103(6). 773–778. 552 indexed citations breakdown →
6.
Bourinet, Emmanuel, Tuck Wah Soong, Kathy Sutton, et al.. (1999). Splicing of α1A subunit gene generates phenotypic variants of P- and Q-type calcium channels. Nature Neuroscience. 2(5). 407–415. 354 indexed citations
7.
Griesmann, Guy E., et al.. (1992). Molecular Diversity of Neuronal-Type Calcium Channels Identified in Small Cell Lung Carcinoma. Mayo Clinic Proceedings. 67(12). 1150–1159. 61 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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