Gurkan Guntas

1.6k citations

14 papers · 1.1k indexed · 1 hit paper · h-index 11

Molecular Biology top 10%
Radiology, Nuclear Medicine and Imaging top 5%
Cellular and Molecular Neuroscience top 10%
Plant Science top 10%
Materials Chemistry

Co-authors: Marc Ostermeier Brian Kuhlman Seth P. Zimmerman Ryan A. Hallett Hayretin Yumerefendi Tishan Williams James E. Bear Thomas J. Mansell
Topics: Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (4 papers)CRISPR and Genetic Engineering (3 papers)
Cited by: Cellular and Molecular Neuroscience Molecular Biology Radiology, Nuclear Medicine and Imaging
Journals: Proceedings of the National Academy of Sciences Nature Biotechnology PLoS ONE
Partner nations: United States Spain

In The Last Decade

Gurkan Guntas

14 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteins

2014 452 citations Gurkan Guntas, Ryan A. Hallett et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Gurkan Guntas

Since Specialization

Citations

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

Fields of papers citing papers by Gurkan Guntas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gurkan Guntas

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

#	Work	Indexed citations
1	Abstract 2357: T cell receptor beta chain-directed Tri-specific antibody molecules retarget V-beta T cell subsets to tumors to promote potent and durable antitumor activity 2024 ·Cancer Research ·Madan Katragadda,Jacques Moisan,Gurkan Guntas,(unknown),(unknown),(unknown),(unknown),Kent Nybakken,(unknown),(unknown),Kevin M. Chin,(unknown),(unknown)	1
2	A T cell receptor β chain–directed antibody fusion molecule activates and expands subsets of T cells to promote antitumor activity 2023 ·Science Translational Medicine ·(unknown),Renee N. Donahue,Madan Katragadda,(unknown),Wei Huang,(unknown),Gurkan Guntas,J. Tang,(unknown),Jacques Moisan,(unknown),A. Allart Stoop,Sangeetha Palakurthi,(unknown),(unknown),E. John Wherry,(unknown),James L. Gulley,(unknown),Jeffrey Schlom	10
3	1316 A novel class of T cell-activating antibody that selectively targets the TCR b chain to promote antitumor activity through activation and expansion of a novel, polyclonal effector memory T cell subset 2022 ·Regular and Young Investigator Award Abstracts ·(unknown),Zhen Su,(unknown),Jonathan C. Hsu,(unknown),Jacques Moisan,Gurkan Guntas,(unknown),(unknown),Rajesh Chopra,(unknown),Wei Huang,J. Tang	1
4	Engineering a genetically encoded competitive inhibitor of the KEAP1–NRF2 interaction via structure-based design and phage display 2015 ·Protein Engineering Design and Selection ·Gurkan Guntas,Steven M. Lewis,Kathleen M. Mulvaney,Erica W. Cloer,Ashutosh Tripathy,Thomas R. Lane,Michael B. Major,Brian Kuhlman	23
5	Generation of bispecific IgG antibodies by structure-based design of an orthogonal Fab interface 2014 ·Nature Biotechnology ·Steven M. Lewis,Xiufeng Wu,Anna Pustilnik,Arlene Sereno,Flora Huang,(unknown),Gurkan Guntas,Andrew Leaver‐Fay,Eric M. Smith,Carolyn Y. Ho,Christophe Hansen‐Estruch,Aaron K. Chamberlain,Stephanie M.E. Truhlar,Elaine M. Conner,S. Atwell,Brian Kuhlman,Stephen J. Demarest	196
6	Engineering an improved light-induced dimer (iLID) for controlling the localization and activity of signaling proteinsbreakdown → 2014 ·Proceedings of the National Academy of Sciences ·Gurkan Guntas,Ryan A. Hallett,Seth P. Zimmerman,Tishan Williams,Hayretin Yumerefendi,James E. Bear,Brian Kuhlman	452
7	Combined computational design of a zinc‐binding site and a protein–protein interaction: One open zinc coordination site was not a robust hotspot for de novo ubiquitin binding 2013 ·Proteins Structure Function and Bioinformatics ·Bryan S. Der,Ramesh K. Jha,Steven M. Lewis,Peter M. Thompson,Gurkan Guntas,Brian Kuhlman	10
8	Redesigning the NEDD8 Pathway with a Bacterial Genetic Screen for Ubiquitin-Like Molecule Transfer 2012 ·Journal of Molecular Biology ·Gurkan Guntas,Brian Kuhlman	2
9	Circular Permutation in the Ω-Loop of TEM-1 β-Lactamase Results in Improved Activity and Altered Substrate Specificity 2012 ·PLoS ONE ·Gurkan Guntas,(unknown),Marc Ostermeier	22
10	Protein switches identified from diverse insertion libraries created using S1 nuclease digestion of supercoiled‐form plasmid DNA 2011 ·Biotechnology and Bioengineering ·Jennifer Tullman,Gurkan Guntas,Matthew P. Dumont,Marc Ostermeier	16
11	Engineering a protein–protein interface using a computationally designed library 2010 ·Proceedings of the National Academy of Sciences ·Gurkan Guntas,Carrie Purbeck,Brian Kuhlman	52
12	Directed evolution of protein switches and their application to the creation of ligand-binding proteins 2005 ·Proceedings of the National Academy of Sciences ·Gurkan Guntas,Thomas J. Mansell,Jin Ryoun Kim,Marc Ostermeier	167
13	A Molecular Switch Created by In Vitro Recombination of Nonhomologous Genes 2004 ·Chemistry & Biology ·Gurkan Guntas,Sarah F. Mitchell,Marc Ostermeier	78
14	Creation of an Allosteric Enzyme by Domain Insertion 2003 ·Journal of Molecular Biology ·Gurkan Guntas,Marc Ostermeier	111

About Gurkan Guntas

Gurkan Guntas is a scholar working on Molecular Medicine, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (247 citations), Molecular Biology (901 citations) and Radiology, Nuclear Medicine and Imaging (259 citations). Gurkan Guntas has collaborated with scholars based in United States and Spain. Frequent co-authors include Marc Ostermeier, Brian Kuhlman, Seth P. Zimmerman, Ryan A. Hallett, Hayretin Yumerefendi, Tishan Williams, James E. Bear, Thomas J. Mansell, Jin Ryoun Kim and Sarah F. Mitchell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

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.

Explore authors with similar magnitude of impact