Christopher Kuenneth

612 total citations · 1 hit paper
10 papers, 387 citations indexed

About

Christopher Kuenneth is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Christopher Kuenneth has authored 10 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 5 papers in Computational Theory and Mathematics and 3 papers in Molecular Biology. Recurrent topics in Christopher Kuenneth's work include Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Christopher Kuenneth is often cited by papers focused on Machine Learning in Materials Science (8 papers), Computational Drug Discovery Methods (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Christopher Kuenneth collaborates with scholars based in United States, Germany and Belgium. Christopher Kuenneth's co-authors include Rampi Ramprasad, Rishi Gurnani, Babetta L. Marrone, Ghanshyam Pilania, Carl N. Iverson, Tran Doan Huan, Beatriz G. del Rio, Alfred Kersch, Chao Wu and Stuti Shukla and has published in prestigious journals such as Nature Communications, Chemistry of Materials and Macromolecules.

In The Last Decade

Christopher Kuenneth

10 papers receiving 378 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.

polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics

2023 129 citations Christopher Kuenneth, Rampi Ramprasad Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Kuenneth United States	8	275	101	85	79	55	10	387
Jiakai Cao China	11	100 0.4×	52 0.5×	135 1.6×	43 0.5×	41 0.7×	23	312
Flore Mekki‐Berrada Singapore	7	206 0.7×	56 0.6×	74 0.9×	150 1.9×	10 0.2×	9	418
Wai Kuan Wong Singapore	9	411 1.5×	25 0.2×	116 1.4×	255 3.2×	13 0.2×	10	674
Yixuan Qiao China	9	142 0.5×	74 0.7×	89 1.0×	101 1.3×	11 0.2×	19	368
Zach Jensen United States	8	481 1.7×	85 0.8×	87 1.0×	51 0.6×	8 0.1×	9	630
Jiaxun Xie Singapore	7	146 0.5×	36 0.4×	65 0.8×	155 2.0×	7 0.1×	9	360
Daniil Bash Singapore	7	263 1.0×	53 0.5×	92 1.1×	114 1.4×	10 0.2×	10	429
Alexandr Zubov Czechia	12	68 0.2×	30 0.3×	72 0.8×	100 1.3×	49 0.9×	25	366
Mariano Asteasuain Argentina	16	127 0.5×	50 0.5×	75 0.9×	110 1.4×	224 4.1×	48	608
Yuyang Sun China	8	311 1.1×	46 0.5×	269 3.2×	48 0.6×	125 2.3×	11	490

Countries citing papers authored by Christopher Kuenneth

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Kuenneth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Kuenneth

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

10 of 10 papers shown

1.

Gurnani, Rishi, Stuti Shukla, Deepak Kamal, et al.. (2024). AI-assisted discovery of high-temperature dielectrics for energy storage. Nature Communications. 15(1). 6107–6107. 45 indexed citations

2.

Kuenneth, Christopher & Rampi Ramprasad. (2023). polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics. Nature Communications. 14(1). 4099–4099. 129 indexed citations breakdown →

3.

Leiske, Meike N., et al.. (2023). Amphiphilic Zwitterionic Bioderived Block Copolymers from Glutamic Acid and Cholesterol – Ability to Form Nanoparticles and Serve as Vectors for the Delivery of 6‐Mercaptopurine. Macromolecular Chemistry and Physics. 224(24). 4 indexed citations

4.

Gurnani, Rishi, et al.. (2023). Polymer Informatics at Scale with Multitask Graph Neural Networks. Chemistry of Materials. 35(4). 1560–1567. 53 indexed citations

5.

Kuenneth, Christopher, et al.. (2023). Polymer informatics beyond homopolymers. MRS Bulletin. 49(1). 17–24. 12 indexed citations

6.

Kuenneth, Christopher, et al.. (2022). Bioplastic design using multitask deep neural networks. Communications Materials. 3(1). 35 indexed citations

7.

Kuenneth, Christopher, et al.. (2022). Characteristics of Low‐Energy Phases of Hafnia and Zirconia from Density Functional Theory Calculations. physica status solidi (RRL) - Rapid Research Letters. 16(10). 16 indexed citations

8.

Kuenneth, Christopher, et al.. (2021). Copolymer Informatics with Multitask Deep Neural Networks. Macromolecules. 54(13). 5957–5961. 72 indexed citations

9.

Kuenneth, Christopher, et al.. (2021). Correction to “Copolymer Informatics with Multitask Deep Neural Networks”. Macromolecules. 54(15). 7321–7321. 3 indexed citations

10.

Rio, Beatriz G. del, Christopher Kuenneth, Tran Doan Huan, & Rampi Ramprasad. (2020). An Efficient Deep Learning Scheme To Predict the Electronic Structure of Materials and Molecules: The Example of Graphene-Derived Allotropes. The Journal of Physical Chemistry A. 124(45). 9496–9502. 18 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.

Explore authors with similar magnitude of impact