John Simms

3.5k total citations
74 papers, 2.6k citations indexed

About

John Simms is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, John Simms has authored 74 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 44 papers in Cellular and Molecular Neuroscience and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in John Simms's work include Receptor Mechanisms and Signaling (53 papers), Neuropeptides and Animal Physiology (42 papers) and Neuroendocrine regulation and behavior (10 papers). John Simms is often cited by papers focused on Receptor Mechanisms and Signaling (53 papers), Neuropeptides and Animal Physiology (42 papers) and Neuroendocrine regulation and behavior (10 papers). John Simms collaborates with scholars based in United Kingdom, United States and Australia. John Simms's co-authors include Denise Wootten, Patrick M. Sexton, Arthur Christopoulos, David R. Poyner, John R. West, Nicholas B. Hallam, C.F. Forster, Laurence J. Miller, Mark Wheatley and Cassandra Koole and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

John Simms

72 papers receiving 2.6k 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 Simms United Kingdom 28 1.7k 1.3k 549 443 346 74 2.6k
M Ma China 22 813 0.5× 108 0.1× 85 0.2× 94 0.2× 21 0.1× 114 1.9k
Satoru Sakuma Japan 21 495 0.3× 232 0.2× 42 0.1× 208 0.5× 22 0.1× 115 1.5k
Lihong Chen China 31 990 0.6× 150 0.1× 258 0.5× 98 0.2× 39 0.1× 117 3.3k
Paola Palestini Italy 32 1.6k 0.9× 249 0.2× 69 0.1× 728 1.6× 10 0.0× 106 3.3k
Wenxue Li China 28 1.3k 0.7× 327 0.3× 67 0.1× 157 0.4× 24 0.1× 107 2.8k
Xiaofei An China 22 479 0.3× 93 0.1× 218 0.4× 19 0.0× 26 0.1× 92 1.6k
David Weisman United States 20 635 0.4× 97 0.1× 119 0.2× 90 0.2× 6 0.0× 48 1.8k
Zhaohui Zhang China 21 402 0.2× 185 0.1× 61 0.1× 47 0.1× 9 0.0× 84 1.5k
Adolf Baumgartner United Kingdom 26 496 0.3× 119 0.1× 170 0.3× 274 0.6× 76 0.2× 75 2.0k
Yanning Li China 28 508 0.3× 104 0.1× 112 0.2× 159 0.4× 4 0.0× 100 1.8k

Countries citing papers authored by John Simms

Since Specialization
Citations

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

Fields of papers citing papers by John Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Simms

This figure shows the co-authorship network connecting the top 25 collaborators of John Simms. A scholar is included among the top collaborators of John Simms 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 Simms. John Simms 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.
Davis, Reema B., Daniel O. Kechele, Harvey J. Kliman, et al.. (2024). hCALCRL mutation causes autosomal recessive nonimmune hydrops fetalis with lymphatic dysplasia. UNC Libraries.
2.
Rothnie, Alice J., et al.. (2023). Classifying tetraspanins: A universal system for numbering residues and a proposal for naming structural motifs and subfamilies. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1866(3). 184265–184265. 3 indexed citations
3.
Harris, Matthew, Ian J. Winfield, Matthew T. Harper, et al.. (2019). Interactions between RAMP2 and CRF receptors: The effect of receptor subtypes, splice variants and cell context. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1861(5). 997–1003. 14 indexed citations
4.
5.
Mutairi, Fuad Al, Reema B. Davis, Daniel O. Kechele, et al.. (2018). hCALCRL mutation causes autosomal recessive nonimmune hydrops fetalis with lymphatic dysplasia. The Journal of Experimental Medicine. 215(9). 2339–2353. 29 indexed citations
6.
7.
Simms, John, et al.. (2018). The Structure of the CGRP and Related Receptors. Handbook of experimental pharmacology. 255. 23–36. 7 indexed citations
8.
Gingell, Joseph J., John Simms, James Barwell, et al.. (2016). An allosteric role for receptor activity-modifying proteins in defining GPCR pharmacology. Cell Discovery. 2(1). 16012–16012. 50 indexed citations
9.
Walker, Christopher S., James Barwell, Gabriel Kuteyi, et al.. (2015). Structural Basis for Receptor Activity-Modifying Protein-Dependent Selective Peptide Recognition by a G Protein-Coupled Receptor. Molecular Cell. 58(6). 1040–1052. 99 indexed citations
10.
Wootten, Denise, Christopher A. Reynolds, Cassandra Koole, et al.. (2015). A Hydrogen-Bonded Polar Network in the Core of the Glucagon-Like Peptide-1 Receptor Is a Fulcrum for Biased Agonism: Lessons from Class B Crystal Structures. Molecular Pharmacology. 89(3). 335–347. 52 indexed citations
11.
Harris, Nicola J., Heather E. Findlay, John Simms, Xia Liu, & Paula J. Booth. (2014). Relative Domain Folding and Stability of a Membrane Transport Protein. Journal of Molecular Biology. 426(8). 1812–1825. 28 indexed citations
12.
Wheatley, Mark, Denise Wootten, Mark Conner, et al.. (2012). Lifting the lid on GPCRs: the role of extracellular loops. British Journal of Pharmacology. 165(6). 1688–1703. 233 indexed citations
13.
Koole, Cassandra, Denise Wootten, John Simms, et al.. (2011). Second Extracellular Loop of Human Glucagon-like Peptide-1 Receptor (GLP-1R) Has a Critical Role in GLP-1 Peptide Binding and Receptor Activation. Journal of Biological Chemistry. 287(6). 3642–3658. 77 indexed citations
14.
Chugunov, Anton O., John Simms, David R. Poyner, et al.. (2010). Evidence that Interaction between Conserved Residues in Transmembrane Helices 2, 3, and 7 Are Crucial for Human VPAC1 Receptor Activation. Molecular Pharmacology. 78(3). 394–401. 27 indexed citations
15.
Hawtin, Stuart, John Simms, Matthew T. Conner, et al.. (2006). Charged Extracellular Residues, Conserved throughout a G-protein-coupled Receptor Family, Are Required for Ligand Binding, Receptor Activation, and Cell-surface Expression. Journal of Biological Chemistry. 281(50). 38478–38488. 38 indexed citations
16.
Simms, John, Debbie L. Hay, Mark Wheatley, & David R. Poyner. (2006). Characterization of the Structure of RAMP1 by Mutagenesis and Molecular Modeling. Biophysical Journal. 91(2). 662–669. 16 indexed citations
17.
Harnik, Peter & John Simms. (2004). PARKS: HOW FAR IS TOO FAR?. 70(11). 15 indexed citations
18.
Bridgeman, John, John Simms, & S.A. Parsons. (2002). The Use and Application of Particle‐Count Data in Water Treatment. Water and Environment Journal. 16(3). 164–170. 2 indexed citations
19.
Hallam, Nicholas B., Hua Fang, John R. West, C.F. Forster, & John Simms. (2002). Bulk Decay of Chlorine in Water Distribution Systems. Journal of Water Resources Planning and Management. 129(1). 78–81. 41 indexed citations
20.
Perkins, Rupert, et al.. (1991). Frankley Water‐Treatment Works Redevelopment: Pilot‐Scale Studies. Water and Environment Journal. 5(4). 370–380. 2 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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