Virginia M. Pain

4.5k total citations · 1 hit paper
68 papers, 3.8k citations indexed

About

Virginia M. Pain is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Virginia M. Pain has authored 68 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 21 papers in Cell Biology and 8 papers in Physiology. Recurrent topics in Virginia M. Pain's work include RNA and protein synthesis mechanisms (33 papers), Muscle metabolism and nutrition (17 papers) and RNA regulation and disease (11 papers). Virginia M. Pain is often cited by papers focused on RNA and protein synthesis mechanisms (33 papers), Muscle metabolism and nutrition (17 papers) and RNA regulation and disease (11 papers). Virginia M. Pain collaborates with scholars based in United Kingdom, United States and France. Virginia M. Pain's co-authors include Simon Morley, Peter J. Garlick, Michael J. Clemens, Michael Rau, A J Ashford, Edgar C. Henshaw, Théophile Ohlmann, Martin Bushell, Ian W. Jeffrey and Peter S. Curtis and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Virginia M. Pain

67 papers receiving 3.7k citations

Hit Papers

Initiation of Protein Synthesis in Eukaryotic Cells 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia M. Pain United Kingdom 32 2.9k 800 508 426 281 68 3.8k
Mary McKee United States 34 2.3k 0.8× 584 0.7× 173 0.3× 489 1.1× 288 1.0× 51 4.0k
Edgar C. Henshaw United States 33 2.8k 1.0× 637 0.8× 93 0.2× 204 0.5× 348 1.2× 55 3.6k
Herbert L. Cooper United States 42 3.4k 1.2× 578 0.7× 229 0.5× 256 0.6× 577 2.1× 102 5.2k
Arie B. Vaandrager Netherlands 37 1.9k 0.6× 271 0.3× 324 0.6× 769 1.8× 200 0.7× 90 3.8k
Herman Lambert Canada 25 4.1k 1.4× 1.2k 1.5× 137 0.3× 613 1.4× 166 0.6× 38 4.8k
J Hempel United States 36 2.0k 0.7× 752 0.9× 82 0.2× 373 0.9× 250 0.9× 94 4.1k
Gavin Brooks United Kingdom 35 1.8k 0.6× 218 0.3× 538 1.1× 201 0.5× 379 1.3× 97 3.0k
Irene K. Berezesky United States 25 1.5k 0.5× 254 0.3× 159 0.3× 220 0.5× 321 1.1× 59 3.0k
L A Weber United States 15 2.3k 0.8× 422 0.5× 86 0.2× 268 0.6× 157 0.6× 16 2.6k
Elisabeth Christians France 31 2.4k 0.8× 480 0.6× 121 0.2× 384 0.9× 406 1.4× 61 3.0k

Countries citing papers authored by Virginia M. Pain

Since Specialization
Citations

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

Fields of papers citing papers by Virginia M. Pain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Virginia M. Pain. 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 Virginia M. Pain. The network helps show where Virginia M. Pain may publish in the future.

Co-authorship network of co-authors of Virginia M. Pain

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia M. Pain. A scholar is included among the top collaborators of Virginia M. Pain 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 Virginia M. Pain. Virginia M. Pain 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.
Hinton, Tracey M., Mark J. Coldwell, Gillian Carpenter, Simon Morley, & Virginia M. Pain. (2006). Functional Analysis of Individual Binding Activities of the Scaffold Protein eIF4G. Journal of Biological Chemistry. 282(3). 1695–1708. 53 indexed citations
3.
Pain, Virginia M., et al.. (2003). Analysis of Translational Activity of Extracts Derived from Oocytes and Eggs of Xenopus laevis. Humana Press eBooks. 77. 195–210.
4.
Ling, Jun, Simon Morley, Virginia M. Pain, William F. Marzluff, & Daniel Gallie. (2002). The Histone 3′-Terminal Stem-Loop-Binding Protein Enhances Translation through a Functional and Physical Interaction with Eukaryotic Initiation Factor 4G (eIF4G) and eIF3. Molecular and Cellular Biology. 22(22). 7853–7867. 67 indexed citations
5.
McKendrick, Linda, Simon Morley, Virginia M. Pain, Rosemary Jagus, & Bhavesh Joshi. (2001). Phosphorylation of eukaryotic initiation factor 4E (eIF4E) at Ser209 is not required for protein synthesis in vitro and in vivo. European Journal of Biochemistry. 268(20). 5375–5385. 70 indexed citations
7.
Morley, Simon, Ian W. Jeffrey, Martin Bushell, Virginia M. Pain, & Michael J. Clemens. (2000). Differential requirements for caspase‐8 activity in the mechanism of phosphorylation of eIF2α, cleavage of eIF4GI and signaling events associated with the inhibition of protein synthesis in apoptotic Jurkat T cells. FEBS Letters. 477(3). 229–236. 41 indexed citations
8.
Rau, Michael, Théophile Ohlmann, Simon Morley, & Virginia M. Pain. (1996). A Reevaluation of the Cap-binding Protein, eIF4E, as a Rate-limiting Factor for Initiation of Translation in Reticulocyte Lysate. Journal of Biological Chemistry. 271(15). 8983–8990. 121 indexed citations
10.
Pain, Virginia M.. (1994). Translational control during amino acid starvation. Biochimie. 76(8). 718–728. 52 indexed citations
11.
Morley, Simon, Michael Rau, John E. Kay, & Virginia M. Pain. (1993). Increased phosphorylation of eukaryotic initiation factor 4α during early activation of T lymphocytes correlates with increased initiation factor 4F complex formation. European Journal of Biochemistry. 218(1). 39–48. 61 indexed citations
12.
Jeffrey, Ian W., Frank J. Kelly, Roger Duncan, John W.B. Hershey, & Virginia M. Pain. (1990). Effect of starvation and diabetes on the activity of the eukaryotic initiation factor eIF-2 in rat skeletal muscle. Biochimie. 72(10). 751–757. 33 indexed citations
13.
Ashford, A J & Virginia M. Pain. (1986). Effect of diabetes on the rates of synthesis and degradation of ribosomes in rat muscle and liver in vivo.. Journal of Biological Chemistry. 261(9). 4059–4065. 151 indexed citations
14.
16.
Pain, Virginia M., et al.. (1982). Investigation of the Role of Uncharged tRNA in the Regulation of Polypeptide Chain Initiation by Amino Acid Starvation in Cultured Mammalian Cells; a Reappraisal. European Journal of Biochemistry. 122(3). 519–526. 22 indexed citations
17.
Proud, Christopher G., Michael J. Clemens, & Virginia M. Pain. (1982). Regulation of binding of initiator tRNA to eukaryotic initiation factor eIF‐2. FEBS Letters. 148(2). 214–220. 23 indexed citations
18.
Clemens, Michael J., et al.. (1982). Phosphorylation inhibits guanine nucleotide exchange on eukaryotic initiation factor 2. Nature. 296(5852). 93–95. 117 indexed citations
19.
McNurlan, Margaret A., Virginia M. Pain, & Peter J. Garlick. (1980). Conditions that alter rates of tissue protein synthesis in vivo. Biochemical Society Transactions. 8(3). 283–285. 23 indexed citations
20.
Pain, Virginia M. & Peter J. Garlick. (1974). Effect of Streptozotocin Diabetes and Insulin Treatment on the Rate of Protein Synthesis in Tissues of the Rat in Vivo. Journal of Biological Chemistry. 249(14). 4510–4514. 185 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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