Lauren Carter

11.5k total citations · 6 hit papers
51 papers, 3.5k citations indexed

About

Lauren Carter is a scholar working on Molecular Biology, Infectious Diseases and Materials Chemistry. According to data from OpenAlex, Lauren Carter has authored 51 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Infectious Diseases and 8 papers in Materials Chemistry. Recurrent topics in Lauren Carter's work include Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (8 papers). Lauren Carter is often cited by papers focused on Protein Structure and Dynamics (13 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (8 papers). Lauren Carter collaborates with scholars based in United States, Spain and Japan. Lauren Carter's co-authors include David Baker, Michael Croft, R W Dutton, Susan L. Swain, Inna Goreshnik, Tamuka M. Chidyausiku, Longxing Cao, Frank DiMaio, Brian Coventry and David Veesler and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Lauren Carter

49 papers receiving 3.5k citations

Hit Papers

5 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.

De novo design of picomolar SARS-CoV-2 miniprotein inhibitors

2020 451 citations Longxing Cao, Inna Goreshnik et al. Science profile →
De novo protein design by deep network hallucination

2021 334 citations Ivan Anishchenko, Samuel J. Pellock et al. Nature profile →
Global analysis of protein folding using massively parallel design, synthesis, and testing

2017 305 citations Sugyan M. Dixit, Tamuka M. Chidyausiku et al. Science profile →
De novo design of a fluorescence-activating β-barrel

2018 249 citations Jiayi Dou, Anastassia A. Vorobieva et al. Nature profile →
De novo design of luciferases using deep learning

2023 241 citations Christoffer Norn, Doug Tischer et al. Nature profile →
Hallucinating symmetric protein assemblies

2022 113 citations Basile I. M. Wicky, Lukas F. Milles et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauren Carter United States	24	2.1k	625	526	396	310	51	3.5k
Piotr Sliz United States	31	4.8k 2.3×	510 0.8×	558 1.1×	486 1.2×	146 0.5×	61	6.2k
Roman I. Koning Netherlands	35	2.3k 1.1×	512 0.8×	787 1.5×	284 0.7×	426 1.4×	87	4.3k
R.L. Brady United Kingdom	39	3.3k 1.6×	143 0.2×	371 0.7×	591 1.5×	368 1.2×	87	4.7k
Jennifer A. Maynard United States	29	1.3k 0.6×	255 0.4×	621 1.2×	222 0.6×	722 2.3×	76	2.6k
James L. Cole United States	37	2.7k 1.3×	560 0.9×	688 1.3×	320 0.8×	181 0.6×	100	4.2k
Marc Graille France	36	3.1k 1.5×	225 0.4×	239 0.5×	337 0.9×	391 1.3×	93	3.7k
Rashmi S. Hegde United States	32	2.9k 1.4×	550 0.9×	680 1.3×	747 1.9×	97 0.3×	78	5.0k
Joshua D. Kaufman United States	33	1.7k 0.8×	676 1.1×	404 0.8×	202 0.5×	200 0.6×	51	2.9k
Geoff Kelly United Kingdom	35	3.3k 1.6×	459 0.7×	538 1.0×	364 0.9×	61 0.2×	109	4.6k
Jonas Emsley United Kingdom	38	2.0k 1.0×	198 0.3×	953 1.8×	176 0.4×	304 1.0×	108	5.6k

Countries citing papers authored by Lauren Carter

Since Specialization

Citations

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

Fields of papers citing papers by Lauren Carter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren Carter. A scholar is included among the top collaborators of Lauren Carter 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 Lauren Carter. Lauren Carter 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:

20 of 20 papers shown

Jiang, Hanlun, Kevin M. Jude, Jorge A. Fallas, et al.. (2024). De novo design of buttressed loops for sculpting protein functions. Nature Chemical Biology. 20(8). 974–980. 14 indexed citations

An, Linna, Derrick R. Hicks, Justas Dauparas, et al.. (2023). Hallucination of closed repeat proteins containing central pockets. Nature Structural & Molecular Biology. 30(11). 1755–1760. 6 indexed citations

Wicky, Basile I. M., Lauren Carter, Asim K. Bera, et al.. (2023). De novo design of monomeric helical bundles for pH‐controlled membrane lysis. Protein Science. 32(11). e4769–e4769. 5 indexed citations

Kim, David E., Davin R. Jensen, David Feldman, et al.. (2023). De novo design of small beta barrel proteins. Proceedings of the National Academy of Sciences. 120(11). e2207974120–e2207974120. 21 indexed citations

Wicky, Basile I. M., Lukas F. Milles, Alexis Courbet, et al.. (2022). Hallucinating symmetric protein assemblies. Science. 378(6615). 56–61. 113 indexed citations breakdown →

Linsky, Thomas W., et al.. (2022). Sampling of structure and sequence space of small protein folds. Nature Communications. 13(1). 7151–7151. 11 indexed citations

Hunt, Andrew C., Gajendra S. Shekhawat, Lauren Carter, et al.. (2022). Rapid and Sensitive Detection of Antigen from SARS-CoV-2 Variants of Concern by a Multivalent Minibinder-Functionalized Nanomechanical Sensor. Analytical Chemistry. 94(23). 8105–8109. 8 indexed citations

Case, James Brett, Rita E. Chen, Longxing Cao, et al.. (2021). Ultrapotent miniproteins targeting the SARS-CoV-2 receptor-binding domain protect against infection and disease. Cell Host & Microbe. 29(7). 1151–1161.e5. 40 indexed citations

Zhao, Yan Ting, Jorge A. Fallas, Shally Saini, et al.. (2021). F‐domain valency determines outcome of signaling through the angiopoietin pathway. EMBO Reports. 22(12). e53471–e53471. 12 indexed citations

10.

McCallum, Matthew, Alexandra C. Walls, Kaitlin R. Sprouse, et al.. (2021). Molecular basis of immune evasion by the Delta and Kappa SARS-CoV-2 variants. Science. 374(6575). 1621–1626. 172 indexed citations

11.

Bryan, Cassie M., Sugyan M. Dixit, Matthew J. Bick, et al.. (2021). Computational design of a synthetic PD-1 agonist. Proceedings of the National Academy of Sciences. 118(29). 46 indexed citations

12.

Doyle, Lindsey, Lauren Gagnon, Min Yen Lee, et al.. (2021). Incorporation of sensing modalities into de novo designed fluorescence-activating proteins. Nature Communications. 12(1). 856–856. 25 indexed citations

13.

Anishchenko, Ivan, Samuel J. Pellock, Tamuka M. Chidyausiku, et al.. (2021). De novo protein design by deep network hallucination. Nature. 600(7889). 547–552. 334 indexed citations breakdown →

14.

Cecon, Erika, Longxing Cao, Lauren Carter, et al.. (2021). SARS-COV-2 spike binding to ACE2 in living cells monitored by TR-FRET. Cell chemical biology. 29(1). 74–83.e4. 9 indexed citations

15.

Basanta, Benjamin, Matthew J. Bick, Asim K. Bera, et al.. (2020). An enumerative algorithm for de novo design of proteins with diverse pocket structures. Proceedings of the National Academy of Sciences. 117(36). 22135–22145. 53 indexed citations

16.

Cao, Longxing, Inna Goreshnik, Brian Coventry, et al.. (2020). De novo design of picomolar SARS-CoV-2 miniprotein inhibitors. Science. 370(6515). 426–431. 451 indexed citations breakdown →

17.

Wei, Kathy Y., Danai Moschidi, Matthew J. Bick, et al.. (2020). Computational design of closely related proteins that adopt two well-defined but structurally divergent folds. Proceedings of the National Academy of Sciences. 117(13). 7208–7215. 39 indexed citations

18.

Dingens, Adam S., Katharine H. D. Crawford, Amanda Adler, et al.. (2020). Serological identification of SARS-CoV-2 infections among children visiting a hospital during the initial Seattle outbreak. Nature Communications. 11(1). 4378–4378. 44 indexed citations

19.

Marcos, Enrique, Tamuka M. Chidyausiku, Andrew C. McShan, et al.. (2018). De novo design of a non-local β-sheet protein with high stability and accuracy. Nature Structural & Molecular Biology. 25(11). 1028–1034. 86 indexed citations

20.

Dixit, Sugyan M., Tamuka M. Chidyausiku, Inna Goreshnik, et al.. (2017). Global analysis of protein folding using massively parallel design, synthesis, and testing. Science. 357(6347). 168–175. 305 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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