John P. Welsh

1.9k total citations
37 papers, 1.2k citations indexed

About

John P. Welsh is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John P. Welsh has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Biomedical Engineering and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John P. Welsh's work include Protein purification and stability (18 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). John P. Welsh is often cited by papers focused on Protein purification and stability (18 papers), Viral Infectious Diseases and Gene Expression in Insects (15 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). John P. Welsh collaborates with scholars based in United States, Germany and Switzerland. John P. Welsh's co-authors include R. Llinás, James R. Swartz, Yuan Lu, Dimitris G. Placantonakis, Eugene J. Carragee, Karthish Manthiram, Elaine S. Date, Chris Hayward, Cary M. Tanner and Michael J. Rossi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Physiology.

In The Last Decade

John P. Welsh

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John P. Welsh United States 16 536 252 230 194 162 37 1.2k
Sigurd D. Süßmuth Germany 26 511 1.0× 151 0.6× 82 0.4× 520 2.7× 24 0.1× 49 1.7k
Alfons Van Lommel Belgium 23 486 0.9× 145 0.6× 82 0.4× 468 2.4× 42 0.3× 45 1.7k
Hiroshi Kaneko Japan 19 361 0.7× 79 0.3× 39 0.2× 372 1.9× 21 0.1× 56 1.4k
H. Meyer Germany 21 438 0.8× 28 0.1× 103 0.4× 79 0.4× 166 1.0× 55 1.5k
Mi‐Ryoung Song South Korea 27 1.2k 2.2× 43 0.2× 21 0.1× 363 1.9× 149 0.9× 68 2.3k
Lokesh Agrawal United States 22 406 0.8× 47 0.2× 27 0.1× 130 0.7× 66 0.4× 52 1.3k
T. Sakamoto Japan 25 503 0.9× 62 0.2× 17 0.1× 263 1.4× 214 1.3× 109 1.7k
Jin‐A Lee South Korea 24 996 1.9× 42 0.2× 149 0.6× 387 2.0× 28 0.2× 92 2.5k
Marsilius Mues Germany 9 826 1.5× 259 1.0× 16 0.1× 142 0.7× 39 0.2× 12 1.6k

Countries citing papers authored by John P. Welsh

Since Specialization
Citations

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

Fields of papers citing papers by John P. Welsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John P. Welsh

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

All Works

20 of 20 papers shown
1.
2.
Welsh, John P., et al.. (2025). Coupling high‐throughput and modeling approaches to streamline early‐stage process development for biologics. Biotechnology Progress. 41(3). e3523–e3523. 1 indexed citations
3.
Welsh, John P., et al.. (2024). High‐throughput in silico workflow for optimization and characterization of multimodal chromatographic processes. Biotechnology Progress. 40(6). e3483–e3483. 7 indexed citations
4.
Welsh, John P., R. Todd, Arne Staby, et al.. (2024). Current state of implementation of in silico tools in the biopharmaceutical industry—Proceedings of the 5th modeling workshop. Biotechnology and Bioengineering. 121(9). 2952–2973. 8 indexed citations
5.
Li, Hong, et al.. (2024). Combining descriptive and predictive modeling to systematically design depth filtration‐based harvest processes for biologics. Biotechnology and Bioengineering. 121(9). 2924–2935. 3 indexed citations
6.
Li, Zhao, et al.. (2023). Cationic polymer precipitation for enhanced impurity removal in downstream processing. Biotechnology and Bioengineering. 120(7). 1902–1913. 6 indexed citations
7.
Welsh, John P., et al.. (2023). Isotherm model discrimination for multimodal chromatography using mechanistic models derived from high-throughput batch isotherm data. Journal of Chromatography A. 1693. 463878–463878. 20 indexed citations
8.
9.
Thom, Volkmar, et al.. (2022). A high‐throughput approach to developing and optimizing mixed‐mode membrane chromatography for protein purification. Biotechnology Progress. 39(2). e3308–e3308. 2 indexed citations
10.
Welsh, John P., et al.. (2019). Prediction of lab and manufacturing scale chromatography performance using mini-columns and mechanistic modeling. Journal of Chromatography A. 1593. 54–62. 41 indexed citations
11.
Welsh, John P., et al.. (2012). Cell‐free production of trimeric influenza hemagglutinin head domain proteins as vaccine antigens. Biotechnology and Bioengineering. 109(12). 2962–2969. 30 indexed citations
12.
Yang, William C., et al.. (2011). Solubility partner IF2 Domain I enables high yield synthesis of transducible transcription factors in Escherichia coli. Protein Expression and Purification. 80(1). 145–151. 8 indexed citations
13.
Welsh, John P., et al.. (2010). Comparing the functional properties of the Hsp70 chaperones, DnaK and BiP. Biophysical Chemistry. 149(1-2). 58–66. 27 indexed citations
14.
Welsh, John P., Kedar G. Patel, Karthish Manthiram, & James R. Swartz. (2009). Multiply mutated Gaussia luciferases provide prolonged and intense bioluminescence. Biochemical and Biophysical Research Communications. 389(4). 563–568. 75 indexed citations
15.
Placantonakis, Dimitris G. & John P. Welsh. (2001). Two distinct oscillatory states determined by the NMDA receptor in rat inferior olive. The Journal of Physiology. 534(1). 123–140. 33 indexed citations
16.
Welsh, John P., et al.. (2001). Chapter 19 The cerebellum as a neuronal prosthesis machine. Progress in brain research. 130. 297–315. 2 indexed citations
17.
Fredericson, Michael, Shi-Uk Lee, John P. Welsh, et al.. (2001). Changes in posterior disc bulging and intervertebral foraminal size associated with flexion-extension movement:. The Spine Journal. 1(1). 10–17. 37 indexed citations
18.
Carragee, Eugene J., Cary M. Tanner, Chris Hayward, et al.. (2000). The Rates of False-Positive Lumbar Discography in Select Patients Without Low Back Symptoms. Spine. 25(11). 1373–1381. 214 indexed citations
19.
Menaker, Michael, Sue A. Aicher, & John P. Welsh. (1996). Anti-myoclonic effect of ablation of the inferior olive. The FASEB Journal. 10(3). 1 indexed citations
20.
Llinás, R. & John P. Welsh. (1993). On the cerebellum and motor learning. Current Opinion in Neurobiology. 3(6). 958–965. 217 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

Breakdown of academic impact, for papers by Sigurd D. Süßmuth Breakdown of academic impact, for papers by Alfons Van Lommel Breakdown of academic impact, for papers by Hiroshi Kaneko Breakdown of academic impact, for papers by H. Meyer Breakdown of academic impact, for papers by Mi‐Ryoung Song Breakdown of academic impact, for papers by Lokesh Agrawal Breakdown of academic impact, for papers by T. Sakamoto Breakdown of academic impact, for papers by Jin‐A Lee Breakdown of academic impact, for papers by Marsilius Mues
Rankless by CCL
2026