Jeff Guo

477 total citations · 1 hit paper
10 papers, 233 citations indexed

About

Jeff Guo is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Jeff Guo has authored 10 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 6 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Jeff Guo's work include Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (6 papers) and Chemistry and Chemical Engineering (3 papers). Jeff Guo is often cited by papers focused on Machine Learning in Materials Science (6 papers), Computational Drug Discovery Methods (6 papers) and Chemistry and Chemical Engineering (3 papers). Jeff Guo collaborates with scholars based in Sweden, Switzerland and United Kingdom. Jeff Guo's co-authors include Ola Engkvist, Jon Paul Janet, Philippe Schwaller, Atanas Patronov, Kostas Papadopoulos, Christian Margreitter, Píetro Lió, Yingheng Wang, Chenru Duan and Tianfan Fu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Science and Genetics in Medicine.

In The Last Decade

Jeff Guo

8 papers receiving 230 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.

Machine learning-aided generative molecular design

2024 68 citations Yuanqi Du, Arian R. Jamasb et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeff Guo Sweden	7	133	126	107	22	14	10	233
Alexander L. Button Switzerland	6	131 1.0×	89 0.7×	140 1.3×	33 1.5×	7 0.5×	7	250
Benoît Baillif United Kingdom	3	190 1.4×	129 1.0×	168 1.6×	35 1.6×	6 0.4×	4	330
Jens A. Fuchs Switzerland	6	268 2.0×	192 1.5×	214 2.0×	38 1.7×	15 1.1×	9	368
Derek van Tilborg Netherlands	6	158 1.2×	115 0.9×	145 1.4×	31 1.4×	3 0.2×	7	288
Odin Zhang China	11	191 1.4×	87 0.7×	203 1.9×	25 1.1×	3 0.2×	27	328
Jintu Zhang China	9	160 1.2×	77 0.6×	181 1.7×	15 0.7×	4 0.3×	15	271
Veronika Chadimová Sweden	5	232 1.7×	211 1.7×	147 1.4×	60 2.7×	37 2.6×	5	369
Junsu Ko South Korea	6	151 1.1×	93 0.7×	145 1.4×	10 0.5×	5 0.4×	9	217
Morgan Thomas United Kingdom	10	120 0.9×	83 0.7×	175 1.6×	17 0.8×	3 0.2×	21	309

Countries citing papers authored by Jeff Guo

Since Specialization

Citations

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

Fields of papers citing papers by Jeff Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeff Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Guo. A scholar is included among the top collaborators of Jeff Guo 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 Jeff Guo. Jeff Guo 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.

Guo, Jeff, et al.. (2026). TANGO: direct optimization of constrained synthesizability for generative molecular design. Nature Computational Science. 6(3). 260–270.

2.

Guo, Jeff & Philippe Schwaller. (2025). Directly optimizing for synthesizability in generative molecular design using retrosynthesis models. Chemical Science. 16(16). 6943–6956. 9 indexed citations

3.

Guo, Jeff, et al.. (2025). ThinkRare: A search algorithm to identify patients with undiagnosed rare genetic disease in an electronic medical record. Genetics in Medicine. 27(11). 101570–101570.

4.

Guo, Jeff, et al.. (2024). Sample efficient reinforcement learning with active learning for molecular design. Chemical Science. 15(11). 4146–4160. 22 indexed citations

5.

Guo, Jeff & Philippe Schwaller. (2024). Augmented Memory: Sample-Efficient Generative Molecular Design with Reinforcement Learning. SHILAP Revista de lepidopterología. 4(6). 2160–2172. 13 indexed citations

6.

Du, Yuanqi, Arian R. Jamasb, Jeff Guo, et al.. (2024). Machine learning-aided generative molecular design. Nature Machine Intelligence. 6(6). 589–604. 68 indexed citations breakdown →

7.

Guo, Jeff, Christian Margreitter, Jon Paul Janet, et al.. (2023). Link-INVENT: generative linker design with reinforcement learning. Digital Discovery. 2(2). 392–408. 48 indexed citations

8.

Guo, Jeff, Christian Margreitter, Jon Paul Janet, et al.. (2022). Author Correction: Improving de novo molecular design with curriculum learning. Nature Machine Intelligence. 4(8). 731–731. 1 indexed citations

9.

Guo, Jeff, Christian Margreitter, Jon Paul Janet, et al.. (2022). Improving de novo molecular design with curriculum learning. Nature Machine Intelligence. 4(6). 555–563. 33 indexed citations

10.

Guo, Jeff, Jon Paul Janet, Matthias R. Bauer, et al.. (2021). DockStream: a docking wrapper to enhance de novo molecular design. Journal of Cheminformatics. 13(1). 89–89. 39 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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