Erik Procko

3.9k total citations · 1 hit paper
50 papers, 2.6k citations indexed

About

Erik Procko is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Erik Procko has authored 50 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 15 papers in Infectious Diseases and 12 papers in Oncology. Recurrent topics in Erik Procko's work include SARS-CoV-2 and COVID-19 Research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and vaccines and immunoinformatics approaches (8 papers). Erik Procko is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (13 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and vaccines and immunoinformatics approaches (8 papers). Erik Procko collaborates with scholars based in United States, Australia and Japan. Erik Procko's co-authors include Rachelle Gaudet, Kui K. Chan, Christopher B. Phelps, Polina V. Lishko, Xiangshu Jin, Sudha Rao, M Shannon, David M. Kranz, Danielle E. Dorosky and Shawn A. Abbasi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Erik Procko

50 papers receiving 2.5k citations

Hit Papers

Engineering human ACE2 to optimize binding to the spike p... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Procko United States 27 1.4k 613 449 365 353 50 2.6k
Bruce D. Freedman United States 36 1.1k 0.8× 423 0.7× 206 0.5× 1.6k 4.5× 428 1.2× 71 3.4k
Alison M. Lawrie United Kingdom 23 1.7k 1.2× 1.2k 2.0× 185 0.4× 530 1.5× 414 1.2× 46 3.8k
Michael Wacker United States 30 2.2k 1.6× 411 0.7× 58 0.1× 232 0.6× 155 0.4× 80 3.8k
Hiroto Yamaguchi Japan 15 1.1k 0.8× 115 0.2× 129 0.3× 205 0.6× 146 0.4× 28 1.9k
Shuying Wang China 25 1.1k 0.8× 276 0.5× 159 0.4× 365 1.0× 57 0.2× 102 2.2k
Souvenir D. Tachado United States 28 705 0.5× 265 0.4× 179 0.4× 904 2.5× 135 0.4× 43 2.4k
Edwin Lasonder Netherlands 33 2.0k 1.4× 136 0.2× 72 0.2× 1.0k 2.8× 238 0.7× 57 4.2k
Haiyan Sun United States 23 1.2k 0.9× 249 0.4× 30 0.1× 675 1.8× 573 1.6× 71 2.5k
Olga Kovbasnjuk United States 31 1.7k 1.2× 728 1.2× 65 0.1× 325 0.9× 724 2.1× 83 3.6k
Martina Gentzsch United States 34 1.9k 1.4× 199 0.3× 61 0.1× 190 0.5× 166 0.5× 67 3.8k

Countries citing papers authored by Erik Procko

Since Specialization
Citations

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

Fields of papers citing papers by Erik Procko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Procko

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

All Works

20 of 20 papers shown
1.
Stepanyuk, Galina A., David F. Thieker, Kui K. Chan, et al.. (2024). Modulation of the pharmacokinetics of soluble ACE2 decoy receptors through glycosylation. Molecular Therapy — Methods & Clinical Development. 32(3). 101301–101301. 1 indexed citations
2.
Higuchi, Yusuke, Yumi Itoh, Tatsuya Suzuki, et al.. (2023). A computationally designed ACE2 decoy has broad efficacy against SARS-CoV-2 omicron variants and related viruses in vitro and in vivo. Communications Biology. 6(1). 513–513. 11 indexed citations
3.
Sun, Yi, et al.. (2023). Xeno interactions between MHC-I proteins and molecular chaperones enable ligand exchange on a broad repertoire of HLA allotypes. Science Advances. 9(8). eade7151–eade7151. 10 indexed citations
4.
Amaya, Moushimi, et al.. (2023). Sequence basis for selectivity of ephrin-B2 ligand for Eph receptors and pathogenic henipavirus G glycoproteins. Journal of Virology. 97(11). e0062123–e0062123. 2 indexed citations
5.
McShan, Andrew C., Georgia Papadaki, Yi Sun, et al.. (2022). TAPBPR employs a ligand-independent docking mechanism to chaperone MR1 molecules. Nature Chemical Biology. 18(8). 859–868. 16 indexed citations
6.
Zhang, Lianghui, Soumajit Dutta, Shiqin Xiong, et al.. (2022). Engineered ACE2 decoy mitigates lung injury and death induced by SARS-CoV-2 variants. Nature Chemical Biology. 18(3). 342–351. 53 indexed citations
7.
Chan, Matthew C., et al.. (2022). The substrate import mechanism of the human serotonin transporter. Biophysical Journal. 121(5). 715–730. 21 indexed citations
8.
Bauer, Magnus S., Lukas F. Milles, Thomas Nicolaus, et al.. (2022). A tethered ligand assay to probe SARS-CoV-2:ACE2 interactions. Proceedings of the National Academy of Sciences. 119(14). e2114397119–e2114397119. 39 indexed citations
9.
Zhang, Lianghui, Laura Cooper, Kui K. Chan, et al.. (2022). An ACE2 decoy can be administered by inhalation and potently targets omicron variants of SARS‐CoV ‐2. EMBO Molecular Medicine. 14(11). e16109–e16109. 31 indexed citations
10.
Chan, Kui K., et al.. (2021). An engineered decoy receptor for SARS-CoV-2 broadly binds protein S sequence variants. Science Advances. 7(8). 83 indexed citations
11.
McShan, Andrew C., Giora I. Morozov, Sarah A. Overall, et al.. (2021). TAPBPR promotes antigen loading on MHC-I molecules using a peptide trap. Nature Communications. 12(1). 3174–3174. 34 indexed citations
12.
Procko, Erik, et al.. (2021). ACE2‐based decoy receptors for SARS coronavirus 2. Proteins Structure Function and Bioinformatics. 89(9). 1065–1078. 20 indexed citations
13.
Procko, Carl, Swetha E. Murthy, William T. Keenan, et al.. (2021). Stretch-activated ion channels identified in the touch-sensitive structures of carnivorous Droseraceae plants. eLife. 10. 44 indexed citations
14.
Park, Jihye, et al.. (2020). Engineered receptors for human cytomegalovirus that are orthogonal to normal human biology. PLoS Pathogens. 16(6). e1008647–e1008647. 11 indexed citations
15.
Chan, Kui K., Danielle E. Dorosky, Preeti Sharma, et al.. (2020). Engineering human ACE2 to optimize binding to the spike protein of SARS coronavirus 2. Science. 369(6508). 1261–1265. 389 indexed citations breakdown →
16.
Zhang, Jiaren, Congcong Chen, Erik Procko, et al.. (2020). Identifying mutation hotspots reveals pathogenetic mechanisms of KCNQ2 epileptic encephalopathy. Scientific Reports. 10(1). 4756–4756. 35 indexed citations
17.
Park, Jihye, et al.. (2019). Conformational Engineering of HIV-1 Env Based on Mutational Tolerance in the CD4 and PG16 Bound States. Journal of Virology. 93(11). 13 indexed citations
18.
Selvam, Balaji, et al.. (2019). Structural architecture of a dimeric class C GPCR based on co-trafficking of sweet taste receptor subunits. Journal of Biological Chemistry. 294(13). 4759–4774. 43 indexed citations
19.
McShan, Andrew C., Sarah A. Overall, Jihye Park, et al.. (2019). Molecular determinants of chaperone interactions on MHC-I for folding and antigen repertoire selection. Proceedings of the National Academy of Sciences. 116(51). 25602–25613. 45 indexed citations
20.
Park, Jihye, et al.. (2018). Mapping Interaction Sites on Human Chemokine Receptors by Deep Mutational Scanning. The Journal of Immunology. 200(11). 3825–3839. 47 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026