Jeffrey K. Weber

3.4k total citations · 1 hit paper
36 papers, 2.5k citations indexed

About

Jeffrey K. Weber is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Jeffrey K. Weber has authored 36 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Materials Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Jeffrey K. Weber's work include Protein Structure and Dynamics (14 papers), Graphene and Nanomaterials Applications (8 papers) and Enzyme Structure and Function (5 papers). Jeffrey K. Weber is often cited by papers focused on Protein Structure and Dynamics (14 papers), Graphene and Nanomaterials Applications (8 papers) and Enzyme Structure and Function (5 papers). Jeffrey K. Weber collaborates with scholars based in United States, China and Australia. Jeffrey K. Weber's co-authors include Ruhong Zhou, Vijay S. Pande, Zaixing Yang, Diwakar Shukla, Zonglin Gu, Carlos X. Hernández, Binquan Luan, Cuicui Ge, Yu Chong and Weifeng Li and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jeffrey K. Weber

35 papers receiving 2.5k 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.

Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy

2017 738 citations Diego Chowell, Luc G.T. Morris et al. Science profile →

Peers

Jeffrey K. Weber

MB

MC

BE

ONCOL

IMMUN

Jin‐Min Nam Japan

Zhongli Cai Canada

Feng Jiang China

Ying Hu United States

Annalisa Lamberti Italy

James P. Basilion United States

Jerry Lee United States

Bowen Li China

Christian T. Farrar United States

Dmitry A. Nedosekin United States

Jin‐Min Nam Japan

Jeffrey K. Weber

2.1k ×2.3

MB

582 ×0.7

MC

1.3k ×1.6

BE

371 ×0.6

ONCOL

242 ×0.5

IMMUN

Citations per year, relative to Jeffrey K. Weber Jeffrey K. Weber (= 1×) peers Jin‐Min Nam

Countries citing papers authored by Jeffrey K. Weber

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey K. Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey K. Weber. 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 Jeffrey K. Weber. The network helps show where Jeffrey K. Weber may publish in the future.

Co-authorship network of co-authors of Jeffrey K. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey K. Weber. A scholar is included among the top collaborators of Jeffrey K. Weber 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 Jeffrey K. Weber. Jeffrey K. Weber 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.

Barkan, Ella, Kevin J. Cheng, Yoel Shoshan, et al.. (2025). Leveraging large language models to predict antibody biological activity against influenza A hemagglutinin. Computational and Structural Biotechnology Journal. 27. 1286–1295. 2 indexed citations

2.

Weber, Jeffrey K., Joseph A. Morrone, Seung-Gu Kang, et al.. (2023). Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity. Briefings in Bioinformatics. 25(1). 4 indexed citations

3.

Weber, Jeffrey K., Joseph A. Morrone, Sugato Bagchi, et al.. (2021). Simplified, interpretable graph convolutional neural networks for small molecule activity prediction. Journal of Computer-Aided Molecular Design. 36(5). 391–404. 18 indexed citations

4.

Joglekar, Alok V., Jeffrey K. Weber, Yong Ouyang, et al.. (2018). T cell receptors for the HIV KK10 epitope from patients with differential immunologic control are functionally indistinguishable. Proceedings of the National Academy of Sciences. 115(8). 1877–1882. 15 indexed citations

5.

Chowell, Diego, Luc G.T. Morris, Claud Grigg, et al.. (2017). Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy. Science. 359(6375). 582–587. 738 indexed citations breakdown →

6.

Duan, Guangxin, Yuanzhao Zhang, Binquan Luan, et al.. (2017). Graphene-Induced Pore Formation on Cell Membranes. Scientific Reports. 7(1). 42767–42767. 122 indexed citations

7.

Weber, Jeffrey K. & Ruhong Zhou. (2017). Phosphatidylserine-Induced Conformational Modulation of Immune Cell Exhaustion-Associated Receptor TIM3. Scientific Reports. 7(1). 13579–13579. 6 indexed citations

8.

Luo, Nana, Jeffrey K. Weber, Shuang Wang, et al.. (2017). PEGylated graphene oxide elicits strong immunological responses despite surface passivation. Nature Communications. 8(1). 14537–14537. 178 indexed citations

9.

Liu, Jing, Peng Wang, Yue Wang, et al.. (2017). Molecular mechanism of Gd@C82(OH)22 increasing collagen expression: Implication for encaging tumor. Biomaterials. 152. 24–36. 27 indexed citations

10.

Zhang, Shuang, et al.. (2016). Sequential protein unfolding through a carbon nanotube pore. Nanoscale. 8(24). 12143–12151. 17 indexed citations

11.

Wang, Xiaofeng, Jeffrey K. Weber, Lei Liu, et al.. (2015). A novel form of β-strand assembly observed in Aβ_33–42adsorbed onto graphene. Nanoscale. 7(37). 15341–15348. 23 indexed citations

12.

Weber, Jeffrey K. & Vijay S. Pande. (2015). Entropy-production-driven oscillators in simple nonequilibrium networks. Physical Review E. 91(3). 32136–32136. 3 indexed citations

13.

Gu, Zonglin, Zaixing Yang, Yu Chong, et al.. (2015). Surface Curvature Relation to Protein Adsorption for Carbon-based Nanomaterials. Scientific Reports. 5(1). 10886–10886. 105 indexed citations

14.

Chong, Yu, Cuicui Ge, Zaixing Yang, et al.. (2015). Reduced Cytotoxicity of Graphene Nanosheets Mediated by Blood-Protein Coating. ACS Nano. 9(6). 5713–5724. 265 indexed citations

15.

Weber, Jeffrey K., Robert L. Jack, Christian R. Schwantes, & Vijay S. Pande. (2014). Dynamical Phase Transitions Reveal Amyloid-like States on Protein Folding Landscapes. Biophysical Journal. 107(4). 974–982. 19 indexed citations

16.

Weber, Jeffrey K., Robert L. Jack, & Vijay S. Pande. (2013). Emergence of Glass-like Behavior in Markov State Models of Protein Folding Dynamics. Journal of the American Chemical Society. 135(15). 5501–5504. 40 indexed citations

17.

Weber, Jeffrey K. & Vijay S. Pande. (2013). Functional understanding of solvent structure in GroEL cavity through dipole field analysis. The Journal of Chemical Physics. 138(16). 165101–165101. 7 indexed citations

18.

Weber, Jeffrey K. & Vijay S. Pande. (2012). Protein Folding Is Mechanistically Robust. Biophysical Journal. 102(4). 859–867. 13 indexed citations

19.

Wu, Cathy, et al.. (2002). A backpropagation system for hypercubes. i. 71–77.

20.

Weber, Jeffrey K., M. Yoshimine, & A. D. McLean. (1976). A CI study of the classical and nonclassical structures of the vinyl cation and their optimum path for rearrangement. The Journal of Chemical Physics. 64(10). 4159–4164. 40 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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