Jason Schrum

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

Jason Schrum is a scholar working on Molecular Biology, Astronomy and Astrophysics and Oncology. According to data from OpenAlex, Jason Schrum has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Astronomy and Astrophysics and 3 papers in Oncology. Recurrent topics in Jason Schrum's work include Origins and Evolution of Life (3 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Jason Schrum is often cited by papers focused on Origins and Evolution of Life (3 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Jason Schrum collaborates with scholars based in United States. Jason Schrum's co-authors include Jack W. Szostak, Mathangi Krishnamurthy, Sheref S. Mansy, Sylvia Tobé, Douglas A. Treco, Ting Zhu, Shilpee Dutt, Jayanta Chaudhuri, John Manis and Uttiya Basu and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Jason Schrum

8 papers receiving 1.0k citations

Hit Papers

Template-directed synthesis of a genetic polymer in a mod... 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Schrum United States 5 718 478 221 197 106 8 1.1k
Tony Z. Jia United States 16 714 1.0× 358 0.7× 139 0.6× 35 0.2× 82 0.8× 50 1.1k
Douglas A. Treco United States 18 2.3k 3.3× 384 0.8× 208 0.9× 78 0.4× 85 0.8× 22 2.8k
Thomas Oberholzer Switzerland 15 1.1k 1.5× 470 1.0× 325 1.5× 27 0.1× 203 1.9× 18 1.4k
Nilesh Vaidya United States 7 1.8k 2.5× 230 0.5× 65 0.3× 21 0.1× 43 0.4× 10 2.1k
Kensuke Kurihara Japan 14 700 1.0× 293 0.6× 257 1.2× 8 0.0× 338 3.2× 39 1.2k
Anton Kiselev Russia 20 862 1.2× 15 0.0× 411 1.9× 149 0.8× 59 0.6× 64 1.2k
Pascal A. Pieters Netherlands 10 395 0.6× 40 0.1× 98 0.4× 10 0.1× 141 1.3× 14 649
Jonathon A. Ditlev United States 16 1.9k 2.6× 10 0.0× 70 0.3× 219 1.1× 58 0.5× 22 2.3k
Martin Rossa Germany 6 663 0.9× 160 0.3× 38 0.2× 13 0.1× 4 0.0× 6 811
Joshua S. Weinger United States 9 791 1.1× 22 0.0× 60 0.3× 30 0.2× 14 0.1× 9 1.0k

Countries citing papers authored by Jason Schrum

Since Specialization
Citations

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

Fields of papers citing papers by Jason Schrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Schrum

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

All Works

8 of 8 papers shown
1.
Hamblett, Kevin J., Roma Yumul, Yufei Chen, et al.. (2023). Abstract C132: SGN-35T: A novel CD30-directed antibody-drug conjugate for the treatment of lymphomas. Molecular Cancer Therapeutics. 22(12_Supplement). C132–C132. 2 indexed citations
2.
Hamblett, Kevin J., Julia H. Cochran, Roma Yumul, et al.. (2023). SGN-35C: A Novel CD30-Directed Antibody-Drug Conjugate for the Treatment of Lymphomas. Blood. 142(Supplement 1). 1440–1440. 3 indexed citations
3.
Gray, Elizabeth, Angela Epp, Michelle Ulrich, et al.. (2021). 854 SGN-B7H4V, a novel, investigational vedotin antibody-drug conjugate directed to the T cell checkpoint ligand B7-H4, shows promising activity in preclinical models. SHILAP Revista de lepidopterología. A895–A895. 3 indexed citations
4.
Schrum, Jason, Ting Zhu, & Jack W. Szostak. (2010). The Origins of Cellular Life. Cold Spring Harbor Perspectives in Biology. 2(9). a002212–a002212. 176 indexed citations
5.
Schrum, Jason, Alonso Ricardo, Mathangi Krishnamurthy, J. Craig Blain, & Jack W. Szostak. (2009). Efficient and Rapid Template-Directed Nucleic Acid Copying Using 2′-Amino-2′,3′-dideoxyribonucleoside−5′-Phosphorimidazolide Monomers. Journal of the American Chemical Society. 131(40). 14560–14570. 83 indexed citations
6.
Mansy, Sheref S., Jason Schrum, Mathangi Krishnamurthy, et al.. (2008). Template-directed synthesis of a genetic polymer in a model protocell. Nature. 454(7200). 122–125. 531 indexed citations breakdown →
7.
Basu, Uttiya, Jayanta Chaudhuri, Craig Alpert, et al.. (2005). The AID antibody diversification enzyme is regulated by protein kinase A phosphorylation. Nature. 438(7067). 508–511. 207 indexed citations
8.
Rohde, Cynthia M., et al.. (2004). A Juxtamembrane Tyrosine in the Colony Stimulating Factor-1 Receptor Regulates Ligand-induced Src Association, Receptor Kinase Function, and Down-regulation. Journal of Biological Chemistry. 279(42). 43448–43461. 53 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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