Umut Y. Ulge

1.1k total citations
9 papers, 354 citations indexed

About

Umut Y. Ulge is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Umut Y. Ulge has authored 9 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Oncology. Recurrent topics in Umut Y. Ulge's work include CRISPR and Genetic Engineering (4 papers), Immune Cell Function and Interaction (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Umut Y. Ulge is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Immune Cell Function and Interaction (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Umut Y. Ulge collaborates with scholars based in United States, South Africa and Italy. Umut Y. Ulge's co-authors include Raymond J. Monnat, David Baker, Blake T. Hovde, Andrea Crisanti, Austin Burt, Philippos Aris Papathanos, Nikolai Windbichler, Summer B. Thyme, Stefan Pellenz and Barry Stoddard and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Umut Y. Ulge

9 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Umut Y. Ulge United States 6 275 136 72 57 41 9 354
Christian Ogaugwu United States 8 256 0.9× 188 1.4× 59 0.8× 48 0.8× 20 0.5× 14 350
Xijia Liu Sweden 10 219 0.8× 125 0.9× 20 0.3× 44 0.8× 62 1.5× 21 314
Louise Ellis United Kingdom 8 350 1.3× 62 0.5× 168 2.3× 19 0.3× 42 1.0× 11 598
Helena Webb United Kingdom 11 238 0.9× 68 0.5× 254 3.5× 22 0.4× 57 1.4× 13 564
Changyong Liang China 12 272 1.0× 95 0.7× 17 0.2× 88 1.5× 31 0.8× 28 360
Eric K. Engelhard United States 8 373 1.4× 252 1.9× 24 0.3× 41 0.7× 66 1.6× 9 462
Sarah Behrens Germany 11 205 0.7× 81 0.6× 26 0.4× 65 1.1× 123 3.0× 17 359
Sebastian Niehus Germany 10 126 0.5× 47 0.3× 36 0.5× 34 0.6× 62 1.5× 17 266
Geneviève M. Labbé United Kingdom 5 146 0.5× 115 0.8× 136 1.9× 18 0.3× 33 0.8× 8 268
Ross Madden United Kingdom 4 292 1.1× 75 0.6× 194 2.7× 29 0.5× 30 0.7× 5 489

Countries citing papers authored by Umut Y. Ulge

Since Specialization
Citations

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

Fields of papers citing papers by Umut Y. Ulge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umut Y. Ulge. 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 Umut Y. Ulge. The network helps show where Umut Y. Ulge may publish in the future.

Co-authorship network of co-authors of Umut Y. Ulge

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

All Works

9 of 9 papers shown
1.
Naing, Aung, Margaret K. Callahan, Brian A. Costello, et al.. (2021). 509 A first-in-human phase 1 study of NL-201 in patients with relapsed or refractory cancer. SHILAP Revista de lepidopterología. A540–A540. 4 indexed citations
2.
Quijano‐Rubio, Alfredo, Umut Y. Ulge, Carl Walkey, & Daniel‐Adriano Silva. (2020). The advent of de novo proteins for cancer immunotherapy. Current Opinion in Chemical Biology. 56. 119–128. 19 indexed citations
3.
Walkey, Carl, et al.. (2020). Abstract 4518: Pre-clinical development of NL-201: A de novo α-independent IL-2/IL-15 agonist. Cancer Research. 80(16_Supplement). 4518–4518. 4 indexed citations
4.
Walkey, Carl, et al.. (2020). 576 NL-201, a de novo IL-2 and IL-15 agonist, demonstrates enhanced in vivo antitumor activity in combination with multiple cancer immunotherapies. Regular and Young Investigator Award Abstracts. A346.1–A346. 1 indexed citations
5.
Ulge, Umut Y., et al.. (2011). Comprehensive homing endonuclease target site specificity profiling reveals evolutionary constraints and enables genome engineering applications. Nucleic Acids Research. 40(6). 2587–2598. 14 indexed citations
6.
Ulge, Umut Y., David Baker, & Raymond J. Monnat. (2011). Comprehensive computational design of mCreI homing endonuclease cleavage specificity for genome engineering. Nucleic Acids Research. 39(10). 4330–4339. 33 indexed citations
7.
Windbichler, Nikolai, Philippos Aris Papathanos, Summer B. Thyme, et al.. (2011). A synthetic homing endonuclease-based gene drive system in the human malaria mosquito. Nature. 473(7346). 212–215. 228 indexed citations
8.
Pellenz, Stefan, et al.. (2009). Generation of single-chain LAGLIDADG homing endonucleases from native homodimeric precursor proteins. Nucleic Acids Research. 37(5). 1650–1662. 37 indexed citations
9.
Ulge, Umut Y., et al.. (2007). Altered target site specificity variants of the I-PpoI His-Cys box homing endonuclease. Nucleic Acids Research. 35(17). 5839–5850. 14 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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