Sydney M. Sanderson

2.2k total citations · 2 hit papers
7 papers, 1.4k citations indexed

About

Sydney M. Sanderson is a scholar working on Cancer Research, Molecular Biology and Biochemistry. According to data from OpenAlex, Sydney M. Sanderson has authored 7 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Sydney M. Sanderson's work include Cancer, Hypoxia, and Metabolism (6 papers), Amino Acid Enzymes and Metabolism (3 papers) and Mitochondrial Function and Pathology (2 papers). Sydney M. Sanderson is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Amino Acid Enzymes and Metabolism (3 papers) and Mitochondrial Function and Pathology (2 papers). Sydney M. Sanderson collaborates with scholars based in United States, Canada and China. Sydney M. Sanderson's co-authors include Jason W. Locasale, Xia Gao, Ziwei Dai, Juan Liu, Michael A. Reid, Peter G. Mikhael, Min Lu, David S. Hsu, Ana Calcagnotto and Samantha J. Mentch and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Nature reviews. Cancer.

In The Last Decade

Sydney M. Sanderson

7 papers receiving 1.3k citations

Hit Papers

Dietary methionine influences therapy in mouse cancer mod... 2019 2026 2021 2023 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sydney M. Sanderson United States 7 876 429 177 151 142 7 1.4k
Niels J. F. van den Broek Netherlands 19 1.7k 1.9× 697 1.6× 192 1.1× 189 1.3× 262 1.8× 24 2.1k
А. Антонов Russia 11 838 1.0× 500 1.2× 69 0.4× 93 0.6× 230 1.6× 54 1.2k
Ahmad A. Cluntun United States 12 964 1.1× 690 1.6× 163 0.9× 104 0.7× 165 1.2× 20 1.5k
Giuseppe Pizzorno United States 25 1.1k 1.2× 229 0.5× 127 0.7× 69 0.5× 325 2.3× 62 1.7k
Flore Kruiswijk United States 6 1.1k 1.2× 651 1.5× 112 0.6× 118 0.8× 408 2.9× 8 1.6k
Hee Chan Yoo South Korea 7 635 0.7× 545 1.3× 96 0.5× 116 0.8× 140 1.0× 10 1.1k
Haejin Yoon South Korea 20 1.0k 1.2× 499 1.2× 201 1.1× 99 0.7× 179 1.3× 29 1.6k
Jinshun Pan China 18 708 0.8× 444 1.0× 107 0.6× 51 0.3× 196 1.4× 30 1.4k
Efrosyni Paraskeva Greece 24 1.4k 1.6× 757 1.8× 261 1.5× 82 0.5× 178 1.3× 43 2.1k

Countries citing papers authored by Sydney M. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Sydney M. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sydney M. Sanderson. 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 Sydney M. Sanderson. The network helps show where Sydney M. Sanderson may publish in the future.

Co-authorship network of co-authors of Sydney M. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Sydney M. Sanderson. A scholar is included among the top collaborators of Sydney M. Sanderson 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 Sydney M. Sanderson. Sydney M. Sanderson 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.
Sanderson, Sydney M., Xia Gao, Ziwei Dai, & Jason W. Locasale. (2019). Methionine metabolism in health and cancer: a nexus of diet and precision medicine. Nature reviews. Cancer. 19(11). 625–637. 370 indexed citations breakdown →
2.
Sanderson, Sydney M., Peter G. Mikhael, Vijyendra Ramesh, Ziwei Dai, & Jason W. Locasale. (2019). Nutrient availability shapes methionine metabolism in p16/ MTAP -deleted cells. Science Advances. 5(6). eaav7769–eaav7769. 25 indexed citations
3.
Lee, Ji‐Young, Ali E. Yesilkanal, Joseph Wynne, et al.. (2019). Effective breast cancer combination therapy targeting BACH1 and mitochondrial metabolism. Nature. 568(7751). 254–258. 260 indexed citations
4.
Gao, Xia, Sydney M. Sanderson, Ziwei Dai, et al.. (2019). Dietary methionine influences therapy in mouse cancer models and alters human metabolism. Nature. 572(7769). 397–401. 439 indexed citations breakdown →
5.
Lu, Min, Sydney M. Sanderson, Kathleen A. Ashcraft, et al.. (2018). Exercise inhibits tumor growth and central carbon metabolism in patient-derived xenograft models of colorectal cancer. SHILAP Revista de lepidopterología. 6(1). 14–14. 30 indexed citations
6.
Gao, Xia, Katie Lee, Michael A. Reid, et al.. (2018). Serine Availability Influences Mitochondrial Dynamics and Function through Lipid Metabolism. Cell Reports. 22(13). 3507–3520. 171 indexed citations
7.
Tang, Shuang, Yi Fang, Gang Huang, et al.. (2017). Methionine metabolism is essential for SIRT 1‐regulated mouse embryonic stem cell maintenance and embryonic development. The EMBO Journal. 36(21). 3175–3193. 63 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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