Connor Weidle

1.2k total citations · 1 hit paper
15 papers, 281 citations indexed

About

Connor Weidle is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Connor Weidle has authored 15 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Virology and 6 papers in Immunology. Recurrent topics in Connor Weidle's work include HIV Research and Treatment (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Connor Weidle is often cited by papers focused on HIV Research and Treatment (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (4 papers). Connor Weidle collaborates with scholars based in United States, Austria and Canada. Connor Weidle's co-authors include Marie Pancera, Andrew T. McGuire, Matthew D. Gray, David Veesler, Joost Snijder, Andrew B. Stuart, M. Juliana McElrath, Andrew J. Borst, Leonidas Stamatatos and Justin J. Taylor and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Connor Weidle

13 papers receiving 279 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.

De novo design of allosterically switchable protein assemblies

2024 33 citations Arvind Pillai, Connor Weidle 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
Connor Weidle United States	10	107	99	80	75	65	15	281
Max Medina-Ramírez Netherlands	8	232 2.2×	151 1.5×	166 2.1×	49 0.7×	85 1.3×	9	395
Jocelyn C. Hach United States	7	255 2.4×	182 1.8×	93 1.2×	127 1.7×	11 0.2×	9	422
Giancarlo Cammarota Italy	8	230 2.1×	85 0.9×	103 1.3×	95 1.3×	57 0.9×	10	413
Darren Hockman Canada	16	74 0.7×	311 3.1×	76 0.9×	274 3.7×	170 2.6×	18	693
Cecilia Carnrot Sweden	9	55 0.5×	177 1.8×	12 0.1×	43 0.6×	51 0.8×	10	325
Sneha Rangarajan United States	10	135 1.3×	100 1.0×	21 0.3×	60 0.8×	96 1.5×	10	312
Jianwen He China	5	37 0.3×	144 1.5×	49 0.6×	227 3.0×	37 0.6×	7	437
E. Lake Potter United States	6	122 1.1×	89 0.9×	50 0.6×	18 0.2×	13 0.2×	8	237
L. Kiss United Kingdom	7	82 0.8×	166 1.7×	43 0.5×	31 0.4×	14 0.2×	11	261
Rahel Frick United States	11	144 1.3×	251 2.5×	23 0.3×	63 0.8×	261 4.0×	16	462

Countries citing papers authored by Connor Weidle

Since Specialization

Citations

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

Fields of papers citing papers by Connor Weidle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connor Weidle

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

All Works

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15 of 15 papers shown

Ragotte, Robert J., John Kit Chung Tam, Jacob M. Berman, et al.. (2025). De novo design of potent inhibitors of clostridial family toxins. Proceedings of the National Academy of Sciences. 122(39). e2509329122–e2509329122. 1 indexed citations

Weidle, Connor, Helen E. Eisenach, Harley Pyles, et al.. (2025). Protein identification using Cryo-EM and artificial intelligence guides improved sample purification. PubMed. 11. 100120–100120. 2 indexed citations

Rankovic, Sanela, Justin Decarreau, Ryan D. Kibler, et al.. (2025). Computational design of bifaceted protein nanomaterials. Nature Materials. 24(10). 1635–1643.

Francica, Joseph R., Alex Roederer, Nicholas K. Hurlburt, et al.. (2025). Elicitation of liver-stage immunity by nanoparticle immunogens displaying P. falciparum CSP-derived antigens. npj Vaccines. 10(1). 87–87.

Pillai, Arvind, Connor Weidle, Philip J. Y. Leung, et al.. (2024). De novo design of allosterically switchable protein assemblies. Nature. 632(8026). 911–920. 33 indexed citations breakdown →

Gray, Matthew D., Junli Feng, Connor Weidle, et al.. (2022). Characterization of a vaccine-elicited human antibody with sequence homology to VRC01-class antibodies that binds the C1C2 gp120 domain. Science Advances. 8(18). eabm3948–eabm3948. 2 indexed citations

Baehr, Carly, Connor Weidle, Peter B. Rupert, et al.. (2022). Structures of drug-specific monoclonal antibodies bound to opioids and nicotine reveal a common mode of binding. Structure. 31(1). 20–32.e5. 12 indexed citations

Seydoux, Emilie, Yu-Hsin Wan, Junli Feng, et al.. (2021). Development of a VRC01-class germline targeting immunogen derived from anti-idiotypic antibodies. Cell Reports. 35(5). 109084–109084. 10 indexed citations

Boonyaratanakornkit, Jim, Suruchi Singh, Connor Weidle, et al.. (2021). Protective antibodies against human parainfluenza virus type 3 infection. mAbs. 13(1). 1912884–1912884. 20 indexed citations

10.

Lin, Yu‐Ru, K. Rachael Parks, Connor Weidle, et al.. (2020). HIV-1 VRC01 Germline-Targeting Immunogens Select Distinct Epitope-Specific B Cell Receptors. Immunity. 53(4). 840–851.e6. 26 indexed citations

11.

Parks, K. Rachael, Anna J. MacCamy, Matthew D. Gray, et al.. (2019). Overcoming Steric Restrictions of VRC01 HIV-1 Neutralizing Antibodies through Immunization. Cell Reports. 29(10). 3060–3072.e7. 19 indexed citations

12.

Dosenovic, Pia, Abigail Wall, Junli Feng, et al.. (2019). Anti-idiotypic antibodies elicit anti-HIV-1–specific B cell responses. The Journal of Experimental Medicine. 216(10). 2316–2330. 22 indexed citations

13.

DeBuysscher, Blair L., Connor Weidle, Abigail Wall, et al.. (2019). Detection and activation of HIV broadly neutralizing antibody precursor B cells using anti-idiotypes. The Journal of Experimental Medicine. 216(10). 2331–2347. 18 indexed citations

14.

Snijder, Joost, Connor Weidle, Andrew B. Stuart, et al.. (2018). An Antibody Targeting the Fusion Machinery Neutralizes Dual-Tropic Infection and Defines a Site of Vulnerability on Epstein-Barr Virus. Immunity. 48(4). 799–811.e9. 89 indexed citations

15.

Borst, Andrew J., Connor Weidle, Matthew D. Gray, et al.. (2018). Germline VRC01 antibody recognition of a modified clade C HIV-1 envelope trimer and a glycosylated HIV-1 gp120 core. eLife. 7. 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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