Erin Sult

1.1k total citations
10 papers, 797 citations indexed

About

Erin Sult is a scholar working on Oncology, Physiology and Molecular Biology. According to data from OpenAlex, Erin Sult has authored 10 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Physiology and 4 papers in Molecular Biology. Recurrent topics in Erin Sult's work include Adenosine and Purinergic Signaling (5 papers), Peptidase Inhibition and Analysis (2 papers) and CAR-T cell therapy research (2 papers). Erin Sult is often cited by papers focused on Adenosine and Purinergic Signaling (5 papers), Peptidase Inhibition and Analysis (2 papers) and CAR-T cell therapy research (2 papers). Erin Sult collaborates with scholars based in United States, Japan and Australia. Erin Sult's co-authors include Kris F. Sachsenmeier, Robert E. Hollingsworth, Carl Hay, Qihui Huang, Harry Yang, Lanju Zhang, Mark J. Smyth, Michele W.L. Teng, Kazuyoshi Takeda and Deborah S. Barkauskas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Cell and Cancer Research.

In The Last Decade

Erin Sult

10 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin Sult United States 8 374 348 288 255 67 10 797
Uffe H. Olesen Denmark 16 214 0.6× 111 0.3× 46 0.2× 230 0.9× 33 0.5× 38 689
Achilleas Mitrakas Greece 16 188 0.5× 55 0.2× 120 0.4× 393 1.5× 89 1.3× 37 839
Judith Leibovici Israel 15 238 0.6× 35 0.1× 196 0.7× 318 1.2× 40 0.6× 83 698
James L. Sims United States 8 512 1.4× 112 0.3× 143 0.5× 548 2.1× 13 0.2× 9 774
Asma Ahmed Germany 6 257 0.7× 28 0.1× 305 1.1× 245 1.0× 231 3.4× 11 743
Florine Obrist France 14 335 0.9× 29 0.1× 178 0.6× 449 1.8× 19 0.3× 16 842
Andreas Noack Germany 14 257 0.7× 22 0.1× 164 0.6× 321 1.3× 24 0.4× 17 719
Masako Kuno Japan 14 109 0.3× 105 0.3× 90 0.3× 291 1.1× 11 0.2× 25 614
Coral Ampurdanés Spain 14 534 1.4× 37 0.1× 191 0.7× 480 1.9× 7 0.1× 19 888
Ildikó Kovács Hungary 15 78 0.2× 36 0.1× 124 0.4× 232 0.9× 61 0.9× 40 609

Countries citing papers authored by Erin Sult

Since Specialization
Citations

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

Fields of papers citing papers by Erin Sult

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin Sult

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

All Works

10 of 10 papers shown
1.
Torchia, Maria Letizia Giardino, Ashley A. Merlino, Erin Sult, et al.. (2022). Rational design of chimeric antigen receptor T cells against glypican 3 decouples toxicity from therapeutic efficacy. Cytotherapy. 24(7). 720–732. 7 indexed citations
2.
Gilbreth, Ryan, Cui Chen, Erin Sult, et al.. (2020). 112 Rational design of chimeric antigen receptor T cells against glypican 3 decouples toxicity from therapeutic efficacy. SHILAP Revista de lepidopterología. A69.2–A70. 1 indexed citations
3.
Gregson, Stephen J., Allison Barrett, Neki V. Patel, et al.. (2019). Synthesis and evaluation of pyrrolobenzodiazepine dimer antibody-drug conjugates with dual β-glucuronide and dipeptide triggers. European Journal of Medicinal Chemistry. 179. 591–607. 16 indexed citations
4.
Vijayan, Dipti, Deborah S. Barkauskas, Kimberley Stannard, et al.. (2017). Selective activation of anti-CD73 mechanisms in control of primary tumors and metastases. OncoImmunology. 6(5). e1312044–e1312044. 22 indexed citations
5.
Dimasi, Nazzareno, Ryan Fleming, Kris F. Sachsenmeier, et al.. (2017). Guiding bispecific monovalent antibody formation through proteolysis of IgG1 single-chain. mAbs. 9(3). 438–454. 5 indexed citations
6.
Hay, Carl, Erin Sult, Qihui Huang, et al.. (2016). Targeting CD73 in the tumor microenvironment with MEDI9447. OncoImmunology. 5(8). e1208875–e1208875. 229 indexed citations
7.
Young, Arabella, Shin Foong Ngiow, Deborah S. Barkauskas, et al.. (2016). Co-inhibition of CD73 and A2AR Adenosine Signaling Improves Anti-tumor Immune Responses. Cancer Cell. 30(3). 391–403. 306 indexed citations
8.
Huang, Qihui, Nicholas M. Durham, Erin Sult, et al.. (2015). Abstract 1538: Levels and enzyme activity of CD73 in primary samples from cancer patients. Cancer Research. 75(15_Supplement). 1538–1538. 9 indexed citations
9.
Hay, Carl, Erin Sult, Qihui Huang, et al.. (2015). Abstract 285: MEDI9447: enhancing anti-tumor immunity by targeting CD73 In the tumor microenvironment. Cancer Research. 75(15_Supplement). 285–285. 10 indexed citations
10.
Sachsenmeier, Kris F., et al.. (2014). A New Bliss Independence Model to Analyze Drug Combination Data. SLAS DISCOVERY. 19(5). 817–821. 192 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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