Jorgen Nelson

1.1k total citations · 1 hit paper
5 papers, 501 citations indexed

About

Jorgen Nelson is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jorgen Nelson has authored 5 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jorgen Nelson's work include Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Respiratory viral infections research (2 papers). Jorgen Nelson is often cited by papers focused on Influenza Virus Research Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Respiratory viral infections research (2 papers). Jorgen Nelson collaborates with scholars based in United States and Switzerland. Jorgen Nelson's co-authors include David Baker, Sagar D. Khare, Christine E. Tinberg, Lindsey Doyle, Jiayi Dou, Barry Stoddard, Wojciech Jankowski, Charalampos G. Kalodimos, Kai Johnsson and Alberto Schena and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Jorgen Nelson

5 papers receiving 497 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.

Computational design of ligand-binding proteins with high affinity and selectivity

2013 325 citations Christine E. Tinberg, Sagar D. Khare et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jorgen Nelson United States	5	401	104	77	50	47	5	501
Shane Ó Conchúir United States	5	419 1.0×	109 1.0×	65 0.8×	36 0.7×	57 1.2×	6	558
Monica Berrondo United States	7	439 1.1×	167 1.6×	102 1.3×	20 0.4×	48 1.0×	11	534
Sankar Basu India	15	614 1.5×	59 0.6×	194 2.5×	30 0.6×	147 3.1×	39	791
Parin Sripakdeevong United States	5	440 1.1×	63 0.6×	69 0.9×	28 0.6×	19 0.4×	7	543
Marco Ceruso United States	7	575 1.4×	43 0.4×	86 1.1×	16 0.3×	35 0.7×	7	697
Maksim Kouza Poland	17	552 1.4×	37 0.4×	209 2.7×	22 0.4×	62 1.3×	31	656
Jonas Hanske Germany	15	538 1.3×	46 0.4×	56 0.7×	40 0.8×	11 0.2×	17	692
Daniel A. Nissley United States	12	345 0.9×	62 0.6×	69 0.9×	15 0.3×	39 0.8×	23	459
Ajay K. Royyuru United States	12	464 1.2×	74 0.7×	138 1.8×	51 1.0×	22 0.5×	25	733
Yuichiro Hourai Japan	5	439 1.1×	62 0.6×	82 1.1×	24 0.5×	93 2.0×	6	570

Countries citing papers authored by Jorgen Nelson

Since Specialization

Citations

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

Fields of papers citing papers by Jorgen Nelson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorgen Nelson

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

All Works

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5 of 5 papers shown

1.

Strauch, Eva‐Maria, Steffen M. Bernard, David La, et al.. (2017). Computational design of trimeric influenza-neutralizing proteins targeting the hemagglutinin receptor binding site. Nature Biotechnology. 35(7). 667–671. 81 indexed citations

2.

Anderson, Caitlin E., Carly A. Holstein, Eva‐Maria Strauch, et al.. (2017). Rapid Diagnostic Assay for Intact Influenza Virus Using a High Affinity Hemagglutinin Binding Protein. Analytical Chemistry. 89(12). 6608–6615. 17 indexed citations

3.

Nelson, Jorgen, Aaron Chevalier, Lance Stewart, et al.. (2016). A Computationally Designed Hemagglutinin Stem-Binding Protein Provides In Vivo Protection from Influenza Independent of a Host Immune Response. PLoS Pathogens. 12(2). e1005409–e1005409. 39 indexed citations

4.

Klein, Jason C., Marc J. Lajoie, Jerrod J. Schwartz, et al.. (2015). Multiplex pairwise assembly of array-derived DNA oligonucleotides. Nucleic Acids Research. 44(5). e43–e43. 39 indexed citations

5.

Tinberg, Christine E., Sagar D. Khare, Jiayi Dou, et al.. (2013). Computational design of ligand-binding proteins with high affinity and selectivity. Nature. 501(7466). 212–216. 325 indexed citations breakdown →

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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