Timothy J. Welsh

1.6k total citations · 2 hit papers
18 papers, 819 citations indexed

About

Timothy J. Welsh is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Timothy J. Welsh has authored 18 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Biomedical Engineering and 1 paper in Ecology. Recurrent topics in Timothy J. Welsh's work include RNA Research and Splicing (12 papers), RNA modifications and cancer (5 papers) and Protein Structure and Dynamics (4 papers). Timothy J. Welsh is often cited by papers focused on RNA Research and Splicing (12 papers), RNA modifications and cancer (5 papers) and Protein Structure and Dynamics (4 papers). Timothy J. Welsh collaborates with scholars based in United Kingdom, Germany and South Sudan. Timothy J. Welsh's co-authors include Georg Krainer, Tuomas P. J. Knowles, Simon Alberti, Titus M. Franzmann, Peter St George‐Hyslop, Seema Qamar, Anthony A. Hyman, William E. Arter, Rosana Collepardo‐Guevara and Jordina Guillén‐Boixet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Timothy J. Welsh

18 papers receiving 814 citations

Hit Papers

Reentrant liquid condensate phase of proteins is stabiliz... 2021 2026 2022 2024 2021 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Welsh United Kingdom 13 646 78 51 48 47 18 819
Dylan T. Murray United States 14 854 1.3× 73 0.9× 116 2.3× 60 1.3× 46 1.0× 21 1.1k
Martti Louhivuori Netherlands 11 553 0.9× 140 1.8× 171 3.4× 16 0.3× 8 0.2× 12 714
Chaowei Shi China 17 448 0.7× 42 0.5× 164 3.2× 50 1.0× 8 0.2× 50 744
Tessa Sinnige Netherlands 15 419 0.6× 20 0.3× 150 2.9× 39 0.8× 14 0.3× 23 676
Sebastian Fiedler Germany 16 427 0.7× 74 0.9× 145 2.8× 20 0.4× 5 0.1× 33 780
Barbara Geier Austria 6 250 0.4× 91 1.2× 47 0.9× 7 0.1× 10 0.2× 7 428
Alons Lends France 13 305 0.5× 31 0.4× 94 1.8× 68 1.4× 4 0.1× 30 653
Erik Walinda Japan 12 334 0.5× 26 0.3× 89 1.7× 24 0.5× 10 0.2× 36 481
Jeffrey Vieregg United States 11 417 0.6× 83 1.1× 172 3.4× 35 0.7× 24 0.5× 18 879
C. Böhm Germany 10 323 0.5× 106 1.4× 60 1.2× 23 0.5× 5 0.1× 14 536

Countries citing papers authored by Timothy J. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Welsh. 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 Timothy J. Welsh. The network helps show where Timothy J. Welsh may publish in the future.

Co-authorship network of co-authors of Timothy J. Welsh

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

All Works

18 of 18 papers shown
1.
Ausserwӧger, Hannes, Ella de Csilléry, Daoyuan Qian, et al.. (2025). Quantifying collective interactions in biomolecular phase separation. Nature Communications. 16(1). 7724–7724. 3 indexed citations
2.
Erkamp, Nadia A., Mina Farag, Daoyuan Qian, et al.. (2025). Differential interactions determine anisotropies at interfaces of RNA-based biomolecular condensates. Nature Communications. 16(1). 3463–3463. 7 indexed citations
3.
Krainer, Georg, Matthias M. Schneider, Timothy J. Welsh, et al.. (2024). Single-molecule digital sizing of proteins in solution. Nature Communications. 15(1). 7740–7740. 5 indexed citations
4.
Kar, Mrityunjoy, Suren Felekyan, Hannes Ausserwӧger, et al.. (2024). Solutes unmask differences in clustering versus phase separation of FET proteins. Nature Communications. 15(1). 4408–4408. 13 indexed citations
5.
Ausserwӧger, Hannes, Georg Krainer, Timothy J. Welsh, et al.. (2023). Surface patches induce nonspecific binding and phase separation of antibodies. Proceedings of the National Academy of Sciences. 120(15). e2210332120–e2210332120. 16 indexed citations
6.
Novakovic, Mihajlo, Fred F. Damberger, Christophe Maris, et al.. (2023). Integrative solution structure of PTBP1-IRES complex reveals strong compaction and ordering with residual conformational flexibility. Nature Communications. 14(1). 6429–6429. 15 indexed citations
7.
Krainer, Georg, Quentin Peter, Catherine K. Xu, et al.. (2023). Single-Molecule Sizing through Nanocavity Confinement. Nano Letters. 23(5). 1629–1636. 8 indexed citations
8.
Šneideris, Tomas, Nadia A. Erkamp, Hannes Ausserwӧger, et al.. (2023). Targeting nucleic acid phase transitions as a mechanism of action for antimicrobial peptides. Nature Communications. 14(1). 7170–7170. 28 indexed citations
9.
Krainer, Georg, Kadi L. Saar, William E. Arter, et al.. (2023). Direct digital sensing of protein biomarkers in solution. Nature Communications. 14(1). 653–653. 29 indexed citations
10.
Erkamp, Nadia A., Tomas Šneideris, Hannes Ausserwӧger, et al.. (2023). Multidimensional Protein Solubility Optimization with an Ultrahigh-Throughput Microfluidic Platform. Analytical Chemistry. 95(12). 5362–5368. 7 indexed citations
11.
Arter, William E., Runzhang Qi, Nadia A. Erkamp, et al.. (2022). Biomolecular condensate phase diagrams with a combinatorial microdroplet platform. Nature Communications. 13(1). 53 indexed citations
12.
Zhu, Hongjia, Masako Narita, Jerelle A. Joseph, et al.. (2022). The Chromatin Regulator HMGA1a Undergoes Phase Separation in the Nucleus**. ChemBioChem. 24(1). e202200450–e202200450. 14 indexed citations
13.
Kar, Mrityunjoy, Timothy J. Welsh, Ralf Kühnemuth, et al.. (2022). Phase-separating RNA-binding proteins form heterogeneous distributions of clusters in subsaturated solutions. Proceedings of the National Academy of Sciences. 119(28). e2202222119–e2202222119. 170 indexed citations breakdown →
14.
Erkamp, Nadia A., et al.. (2022). Microfluidics for multiscale studies of biomolecular condensates. Lab on a Chip. 23(1). 9–24. 14 indexed citations
15.
Qian, Daoyuan, Timothy J. Welsh, Nadia A. Erkamp, et al.. (2022). Tie-Line Analysis Reveals Interactions Driving Heteromolecular Condensate Formation. Physical Review X. 12(4). 31 indexed citations
16.
Krainer, Georg, Timothy J. Welsh, Jerelle A. Joseph, et al.. (2021). Reentrant liquid condensate phase of proteins is stabilized by hydrophobic and non-ionic interactions. Nature Communications. 12(1). 1085–1085. 339 indexed citations breakdown →
17.
Krainer, Georg, Timothy J. Welsh, Jerelle A. Joseph, et al.. (2021). Reentrant Liquid Condensate Phase of Proteins is Stabilized by Hydrophobic and Non-Ionic interactions. Biophysical Journal. 120(3). 28a–28a. 19 indexed citations
18.
Welsh, Timothy J., W. Loveland, R. Yáñez, et al.. (2017). Modeling multi-nucleon transfer in symmetric collisions of massive nuclei. Physics Letters B. 771. 119–124. 48 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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