Travis Hoppe

1.8k total citations · 1 hit paper
25 papers, 790 citations indexed

About

Travis Hoppe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Travis Hoppe has authored 25 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Materials Chemistry. Recurrent topics in Travis Hoppe's work include Protein Structure and Dynamics (6 papers), Neural dynamics and brain function (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Travis Hoppe is often cited by papers focused on Protein Structure and Dynamics (6 papers), Neural dynamics and brain function (4 papers) and Neurobiology and Insect Physiology Research (4 papers). Travis Hoppe collaborates with scholars based in United States, Germany and United Kingdom. Travis Hoppe's co-authors include B. Ian Hutchins, George M. Santangelo, William N. Frost, Aviva Litovitz, Hannah A. Valantine, Matthew J. Perkins, Rebecca A. Meseroll, Kristine A. Willis, Michael S. Lauer and James M. Anderson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Travis Hoppe

24 papers receiving 774 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.

Topic choice contributes to the lower rate of NIH awards to African-American/black scientists

2019 374 citations Travis Hoppe, Aviva Litovitz et al. Science Advances profile →

Peers

Travis Hoppe

MB

GS

PHEOH

CMN

GHP

Yudhijit Bhattacharjee Netherlands

Rebecca A. Meseroll United States

Philip Campbell United States

Carina Dennis United States

Sara Green Denmark

David W. Craig United States

Zer Vue United States

David Dickson United Kingdom

LeRoy Walters United States

Pim M.W. Janssens Netherlands

Yudhijit Bhattacharjee Netherlands

Travis Hoppe

90 ×0.5

MB

24 ×0.2

GS

67 ×0.5

PHEOH

23 ×0.2

CMN

35 ×0.4

GHP

Citations per year, relative to Travis Hoppe Travis Hoppe (= 1×) peers Yudhijit Bhattacharjee

Countries citing papers authored by Travis Hoppe

Since Specialization

Citations

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

Fields of papers citing papers by Travis Hoppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis Hoppe

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

All Works

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20 of 20 papers shown

1.

Scanlon, Paul, et al.. (2024). Semi-Automated Nonresponse Detection for Open-Text Survey Data. Social Science Computer Review. 43(1). 166–190.

2.

Hoppe, Travis, et al.. (2023). Predicting substantive biomedical citations without full text. Proceedings of the National Academy of Sciences. 120(30). e2213697120–e2213697120. 4 indexed citations

3.

Keralis, Jessica M., Juan Rafael Albertorio‐Diaz, & Travis Hoppe. (2023). Dark citations to Federal resources and their contribution to the public health literature. SHILAP Revista de lepidopterología. 8. 1235208–1235208. 2 indexed citations

4.

Hutchins, B. Ian, et al.. (2019). The NIH Open Citation Collection: A public access, broad coverage resource. PLoS Biology. 17(10). e3000385–e3000385. 66 indexed citations

5.

Hoppe, Travis, Aviva Litovitz, Kristine A. Willis, et al.. (2019). Topic choice contributes to the lower rate of NIH awards to African-American/black scientists. Science Advances. 5(10). eaaw7238–eaaw7238. 374 indexed citations breakdown →

6.

Hoppe, Travis & Allen P. Minton. (2019). Non-specific Interactions Between Macromolecular Solutes in Concentrated Solution: Physico-Chemical Manifestations and Biochemical Consequences. Frontiers in Molecular Biosciences. 6. 10–10. 14 indexed citations

7.

Hoppe, Travis & Allen P. Minton. (2015). An Equilibrium Model for the Combined Effect of Macromolecular Crowding and Surface Adsorption on the Formation of Linear Protein Fibrils. Biophysical Journal. 108(4). 957–966. 17 indexed citations

8.

Hoppe, Travis, et al.. (2015). Integer sequence discovery from small graphs. Discrete Applied Mathematics. 201. 172–181. 1 indexed citations

9.

Zhao, Chao, Travis Hoppe, Mohan Haleyurgirisetty, et al.. (2014). Quantification of plasma HIV RNA using chemically engineered peptide nucleic acids. Nature Communications. 5(1). 5079–5079. 30 indexed citations

10.

Moss, Steven M., Khai Phan, Travis Hoppe, et al.. (2014). Programmable Nanoscaffolds That Control Ligand Display to a G-Protein-Coupled Receptor in Membranes To Allow Dissection of Multivalent Effects. Journal of the American Chemical Society. 136(35). 12296–12303. 21 indexed citations

11.

Hoppe, Travis, et al.. (2014). Encyclopedia of Finite Graphs: Simple connected graphs. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

12.

Hoppe, Travis. (2013). Singular Value Decomposition of the Radial Distribution Function for Hard Sphere and Square Well Potentials. PLoS ONE. 8(10). e75792–e75792. 3 indexed citations

13.

Schalnus, Rainer, et al.. (2009). Modulare semiquantitative Qualitätsbewertung augenheilkundlicher Gesundheitsinformationen im Internet – Reproduzierbarkeit und Korrelation zwischen verschiedenen Bewertungskategorien. Klinische Monatsblätter für Augenheilkunde. 226(8). 664–671. 1 indexed citations

14.

Hoppe, Travis & Jian‐Min Yuan. (2009). Entropic flows, crowding effects, and stability of asymmetric proteins. Physical Review E. 80(1). 11404–11404. 1 indexed citations

15.

Safronova, A.S., V. L. Kantsyrev, P. Neill, et al.. (2008). The importance of EBIT data for Z-pinch plasma diagnostics. Canadian Journal of Physics. 86(1). 267–276. 28 indexed citations

16.

Safronova, A.S., V. L. Kantsyrev, G. C. Osborne, et al.. (2006). Spectroscopic and Imaging Study of Combined W and Mo$X$-pinches at 1 MA$Z$-pinch Generators. IEEE Transactions on Plasma Science. 34(5). 2256–2262. 7 indexed citations

17.

Frost, William N., et al.. (2003). A Cellular Mechanism for Prepulse Inhibition. Neuron. 40(5). 991–1001. 49 indexed citations

18.

Frost, William N., et al.. (2001). Swim Initiation Neurons in Tritonia diomedea1. American Zoologist. 41(4). 952–961. 23 indexed citations

19.

Hoppe, Travis, et al.. (1998). Prepulse Inhibition of theTritoniaEscape Swim. Journal of Neuroscience. 18(20). 8467–8472. 26 indexed citations

20.

Hoppe, Travis, et al.. (1998). Prepulse inhibition of the Tritonia escape swim.. PubMed. 18(20). 8467–72. 27 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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