Chris Sander

257.8k total citations · 42 hit papers
308 papers, 93.4k citations indexed

About

Chris Sander is a scholar working on Molecular Biology, Cancer Research and Materials Chemistry. According to data from OpenAlex, Chris Sander has authored 308 papers receiving a total of 93.4k indexed citations (citations by other indexed papers that have themselves been cited), including 276 papers in Molecular Biology, 76 papers in Cancer Research and 52 papers in Materials Chemistry. Recurrent topics in Chris Sander's work include Protein Structure and Dynamics (77 papers), RNA and protein synthesis mechanisms (55 papers) and Bioinformatics and Genomic Networks (54 papers). Chris Sander is often cited by papers focused on Protein Structure and Dynamics (77 papers), RNA and protein synthesis mechanisms (55 papers) and Bioinformatics and Genomic Networks (54 papers). Chris Sander collaborates with scholars based in United States, Germany and United Kingdom. Chris Sander's co-authors include Liisa Holm, Burkhard Rost, Nikolaus Schultz, Debora S. Marks, Ethan Cerami, Bülent Arman Aksoy, Anders J. Skanderup, Erik Larsson, Jianjiong Gao and S. Onur Sumer and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Chris Sander

305 papers receiving 92.1k citations

Hit Papers

The cBio Cancer Genomics Portal: A... 1992 2026 2003 2014 2012 2013 2013 1993 2004 2.5k 5.0k 7.5k 10.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Sander United States 119 69.7k 26.3k 13.4k 10.6k 8.3k 308 93.4k
Rakesh K. Jain United States 170 56.7k 0.8× 27.5k 1.0× 34.7k 2.6× 17.1k 1.6× 3.6k 0.4× 862 134.8k
Peer Bork Germany 151 97.1k 1.4× 9.5k 0.4× 7.0k 0.5× 6.1k 0.6× 15.3k 1.8× 524 145.9k
Minoru Kanehisa Japan 75 76.3k 1.1× 12.2k 0.5× 5.4k 0.4× 7.0k 0.7× 10.1k 1.2× 266 114.1k
Stuart L. Schreiber United States 139 66.7k 1.0× 9.4k 0.4× 11.3k 0.8× 7.1k 0.7× 4.7k 0.6× 600 91.9k
Todd R. Golub United States 111 77.0k 1.1× 27.5k 1.0× 18.8k 1.4× 13.7k 1.3× 7.3k 0.9× 229 113.9k
Adrian L. Harris United Kingdom 164 64.9k 0.9× 45.7k 1.7× 34.9k 2.6× 13.0k 1.2× 8.0k 1.0× 1.2k 109.9k
David Botstein United States 150 111.9k 1.6× 22.9k 0.9× 20.5k 1.5× 8.0k 0.8× 29.0k 3.5× 425 163.8k
Lewis C. Cantley United States 183 104.9k 1.5× 29.7k 1.1× 27.4k 2.0× 11.3k 1.1× 7.3k 0.9× 710 150.4k
Patrick O. Brown United States 137 85.4k 1.2× 24.6k 0.9× 20.1k 1.5× 7.3k 0.7× 14.8k 1.8× 272 121.0k
Douglas Hanahan United States 109 79.7k 1.1× 36.5k 1.4× 43.8k 3.3× 12.6k 1.2× 13.4k 1.6× 230 137.2k

Countries citing papers authored by Chris Sander

Since Specialization
Citations

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

Fields of papers citing papers by Chris Sander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Sander

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

All Works

20 of 20 papers shown
1.
Su, Yang, et al.. (2024). LanTERN: A Fluorescent Sensor That Specifically Responds to Lanthanides. ACS Synthetic Biology. 13(3). 958–962. 6 indexed citations
2.
Notin, Pascal, Nathan Rollins, Yarin Gal, Chris Sander, & Debora S. Marks. (2024). Machine learning for functional protein design. Nature Biotechnology. 42(2). 216–228. 118 indexed citations breakdown →
3.
Li, Xubin, Gonghong Yan, Jacob H. Elnaggar, et al.. (2022). Precision Combination Therapies Based on Recurrent Oncogenic Coalterations. Cancer Discovery. 12(6). 1542–1559. 20 indexed citations
4.
Stiffler, Michael A., Frank J. Poelwijk, Kelly P. Brock, et al.. (2019). Protein Structure from Experimental Evolution. Cell Systems. 10(1). 15–24.e5. 25 indexed citations
5.
Okada, Tomoyo, Ann Y. Lee, Li‐Xuan Qin, et al.. (2016). Integrin-α10 Dependency Identifies RAC and RICTOR as Therapeutic Targets in High-Grade Myxofibrosarcoma. Cancer Discovery. 6(10). 1148–1165. 68 indexed citations
6.
Luna, Augustin, Özgün Babur, Bülent Arman Aksoy, Emek Demir, & Chris Sander. (2015). PaxtoolsR: pathway analysis in R using Pathway Commons. Bioinformatics. 32(8). 1262–1264. 20 indexed citations
7.
Voss, Martin H., A. Ari Hakimi, Can G. Pham, et al.. (2014). Tumor Genetic Analyses of Patients with Metastatic Renal Cell Carcinoma and Extended Benefit from mTOR Inhibitor Therapy. Clinical Cancer Research. 20(7). 1955–1964. 156 indexed citations
8.
Aksoy, Bülent Arman, Emek Demir, Özgün Babur, et al.. (2014). Prediction of individualized therapeutic vulnerabilities in cancer from genomic profiles. Bioinformatics. 30(14). 2051–2059. 25 indexed citations
9.
Weinstein, John N., Gordon B. Mills, Kenna Shaw, et al.. (2013). The Cancer Genome Atlas Pan-Cancer analysis project. Nature Genetics. 45(10). 1113–1120. 5399 indexed citations breakdown →
10.
Hakimi, A. Ari, Irina Ostrovnaya, Boris Reva, et al.. (2013). Adverse Outcomes in Clear Cell Renal Cell Carcinoma with Mutations of 3p21 Epigenetic Regulators BAP1 and SETD2 : A Report by MSKCC and the KIRC TCGA Research Network. Clinical Cancer Research. 19(12). 3259–3267. 267 indexed citations
11.
Cerami, Ethan, Jianjiong Gao, Uğur Doğrusöz, et al.. (2012). The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data. Cancer Discovery. 2(5). 401–404. 11972 indexed citations breakdown →
12.
Iyer, Gopa, Aphrothiti J. Hanrahan, Matthew I. Milowsky, et al.. (2012). Genome Sequencing Identifies a Basis for Everolimus Sensitivity. Science. 338(6104). 221–221. 480 indexed citations breakdown →
13.
Mitsiades, Nicholas, Clifford C. Sung, Nikolaus Schultz, et al.. (2012). Distinct Patterns of Dysregulated Expression of Enzymes Involved in Androgen Synthesis and Metabolism in Metastatic Prostate Cancer Tumors. Cancer Research. 72(23). 6142–6152. 175 indexed citations
14.
Taylor, Barry S., Penelope DeCarolis, Christina V. Angeles, et al.. (2011). Frequent Alterations and Epigenetic Silencing of Differentiation Pathway Genes in Structurally Rearranged Liposarcomas. Cancer Discovery. 1(7). 587–597. 92 indexed citations
15.
Hanrahan, Aphrothiti J., Nikolaus Schultz, Maggie L. Westfal, et al.. (2011). Genomic Complexity and AKT Dependence in Serous Ovarian Cancer. Cancer Discovery. 2(1). 56–67. 88 indexed citations
16.
Ugras, Stacy, Elliott Brill, Anders J. Skanderup, et al.. (2011). Small RNA Sequencing and Functional Characterization Reveals MicroRNA-143 Tumor Suppressor Activity in Liposarcoma. Cancer Research. 71(17). 5659–5669. 98 indexed citations
17.
Brill, Elliott, Ryan M. Gobble, Christina V. Angeles, et al.. (2010). ZIC1 Overexpression Is Oncogenic in Liposarcoma. Cancer Research. 70(17). 6891–6901. 39 indexed citations
18.
Singer, Samuel, Nicholas D. Socci, Grazia Ambrosini, et al.. (2007). Gene Expression Profiling of Liposarcoma Identifies Distinct Biological Types/Subtypes and Potential Therapeutic Targets in Well-Differentiated and Dedifferentiated Liposarcoma. Cancer Research. 67(14). 6626–6636. 189 indexed citations
19.
Holm, Liisa & Chris Sander. (1996). Mapping the Protein Universe. Science. 273(5275). 595–602. 1237 indexed citations breakdown →
20.
Rost, Burkhard, Chris Sander, & Reinhard Schneider. (1994). Evolution and Neural Networks – Protein Secondary Structure Prediction Above 71% Accuracy. Open Repository and Bibliography (University of Luxembourg). 385–394. 7 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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