Travis Nieusma

2.6k total citations · 1 hit paper
15 papers, 1.5k citations indexed

About

Travis Nieusma is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Molecular Biology. According to data from OpenAlex, Travis Nieusma has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Travis Nieusma's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Hepatitis C virus research (6 papers) and Influenza Virus Research Studies (5 papers). Travis Nieusma is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Hepatitis C virus research (6 papers) and Influenza Virus Research Studies (5 papers). Travis Nieusma collaborates with scholars based in United States, Netherlands and Canada. Travis Nieusma's co-authors include Ian A. Wilson, Andrew B. Ward, Dennis R. Burton, Mansun Law, Erick Giang, Leopold Kong, Jean‐Philippe Julien, Robyn L. Stanfield, Devin Sok and Rameshwar U. Kadam and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Travis Nieusma

15 papers receiving 1.5k citations

Hit Papers

Rational HIV Immunogen Design to Target Specific Germline... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Travis Nieusma United States 13 665 654 590 551 468 15 1.5k
Yuanzi Hua United States 13 1.1k 1.6× 602 0.9× 413 0.7× 843 1.5× 346 0.7× 14 2.0k
Laura E. McCoy United Kingdom 21 961 1.4× 421 0.6× 415 0.7× 615 1.1× 167 0.4× 45 1.7k
Henry Grisé United States 6 701 1.1× 238 0.4× 263 0.4× 379 0.7× 187 0.4× 7 1.1k
Erick Giang United States 19 410 0.6× 1.1k 1.6× 1.2k 2.1× 353 0.6× 1.6k 3.5× 24 2.0k
Alba Torrents de la Peña United States 14 1.0k 1.6× 479 0.7× 268 0.5× 613 1.1× 67 0.1× 28 1.4k
Sylvie Corbet Denmark 17 482 0.7× 237 0.4× 414 0.7× 429 0.8× 114 0.2× 34 1.2k
Phillipe N. Nyambi United States 29 1.9k 2.9× 371 0.6× 462 0.8× 401 0.7× 180 0.4× 78 2.3k
Carla Kuiken United States 14 674 1.0× 203 0.3× 1.6k 2.6× 511 0.9× 1.6k 3.5× 22 2.5k
Anila Yasmeen United States 19 1.6k 2.4× 752 1.1× 352 0.6× 849 1.5× 75 0.2× 32 2.0k
Anne L. Maerz Australia 14 1.4k 2.1× 229 0.4× 566 1.0× 331 0.6× 298 0.6× 18 1.9k

Countries citing papers authored by Travis Nieusma

Since Specialization
Citations

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

Fields of papers citing papers by Travis Nieusma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Nieusma

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

All Works

15 of 15 papers shown
1.
Bruhn, Jessica F., Giovanna Scapin, Anchi Cheng, et al.. (2021). Small Molecule Microcrystal Electron Diffraction (MicroED) for the Pharmaceutical Industry – Results from Examining Over Fifty Samples. Microscopy and Microanalysis. 27(S1). 2594–2598. 2 indexed citations
2.
Bangaru, Sandhya, H. Zhang, Iuliia M. Gilchuk, et al.. (2018). A multifunctional human monoclonal neutralizing antibody that targets a unique conserved epitope on influenza HA. Nature Communications. 9(1). 2669–2669. 75 indexed citations
3.
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
4.
Lee, Jeong Hyun, Raiees Andrabi, Anila Yasmeen, et al.. (2017). A Broadly Neutralizing Antibody Targets the Dynamic HIV Envelope Trimer Apex via a Long, Rigidified, and Anionic β-Hairpin Structure. Immunity. 46(4). 690–702. 157 indexed citations
5.
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
6.
Bangaru, Sandhya, Travis Nieusma, Nurgun Kose, et al.. (2016). Recognition of influenza H3N2 variant virus by human neutralizing antibodies. JCI Insight. 1(10). 18 indexed citations
7.
Kong, Leopold, David E. Lee, Rameshwar U. Kadam, et al.. (2016). Structural flexibility at a major conserved antibody target on hepatitis C virus E2 antigen. Proceedings of the National Academy of Sciences. 113(45). 12768–12773. 67 indexed citations
8.
Kong, Leopold, Rameshwar U. Kadam, Erick Giang, et al.. (2015). Structure of Hepatitis C Virus Envelope Glycoprotein E1 Antigenic Site 314–324 in Complex with Antibody IGH526. Journal of Molecular Biology. 427(16). 2617–2628. 43 indexed citations
9.
Schiffner, Torben, Natalia de Val, Rebecca A. Russell, et al.. (2015). Chemical Cross-Linking Stabilizes Native-Like HIV-1 Envelope Glycoprotein Trimer Antigens. Journal of Virology. 90(2). 813–828. 27 indexed citations
10.
Julien, Jean‐Philippe, Jeong Hyun Lee, Gabriel Ozorowski, et al.. (2015). Design and structure of two HIV-1 clade C SOSIP.664 trimers that increase the arsenal of native-like Env immunogens. Proceedings of the National Academy of Sciences. 112(38). 11947–11952. 87 indexed citations
11.
Ruwona, Tinashe B., Erick Giang, Travis Nieusma, & Mansun Law. (2014). Correction for Ruwona et al., Fine Mapping of Murine Antibody Responses to Immunization with a Novel Soluble Form of Hepatitis C Virus Envelope Glycoprotein Complex. Journal of Virology. 88(22). 13517–13517. 1 indexed citations
12.
Ruwona, Tinashe B., Erick Giang, Travis Nieusma, & Mansun Law. (2014). Fine Mapping of Murine Antibody Responses to Immunization with a Novel Soluble Form of Hepatitis C Virus Envelope Glycoprotein Complex. Journal of Virology. 88(18). 10459–10471. 42 indexed citations
13.
Kong, Leopold, Erick Giang, Travis Nieusma, et al.. (2013). Hepatitis C Virus E2 Envelope Glycoprotein Core Structure. Science. 342(6162). 1090–1094. 305 indexed citations
14.
Jardine, Joseph G., Jean‐Philippe Julien, Sergey Menis, et al.. (2013). Rational HIV Immunogen Design to Target Specific Germline B Cell Receptors. Science. 340(6133). 711–716. 529 indexed citations breakdown →
15.
Kong, Leopold, Erick Giang, Travis Nieusma, et al.. (2012). Structure of Hepatitis C Virus Envelope Glycoprotein E2 Antigenic Site 412 to 423 in Complex with Antibody AP33. Journal of Virology. 86(23). 13085–13088. 74 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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