John Lamb

2.6k total citations · 1 hit paper
11 papers, 843 citations indexed

About

John Lamb is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, John Lamb has authored 11 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Materials Chemistry. Recurrent topics in John Lamb's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (2 papers). John Lamb is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Machine Learning in Bioinformatics (2 papers). John Lamb collaborates with scholars based in Sweden, United States and Japan. John Lamb's co-authors include Phil Hieter, Stuart Tugendreich, Philip Hieter, R Sikorski, William A. Michaud, Arne Elofsson, Claudio Bassot, Nanjiang Shu, Konstantinos D. Tsirigos and Åke Västermark and has published in prestigious journals such as The EMBO Journal, Bioinformatics and Journal of Molecular Biology.

In The Last Decade

John Lamb

11 papers receiving 833 citations

Hit Papers

Tetratrico peptide repeat interactions: to TPR or not to ... 1995 2026 2005 2015 1995 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
John Lamb Sweden 8 725 213 127 94 87 11 843
Peter C. Fridy United States 11 814 1.1× 380 1.8× 195 1.5× 87 0.9× 39 0.4× 18 1.1k
Kerman Aloria Spain 18 466 0.6× 164 0.8× 109 0.9× 44 0.5× 61 0.7× 35 746
A. Jane Bardwell United States 11 957 1.3× 132 0.6× 133 1.0× 40 0.4× 104 1.2× 14 1.0k
Wen Deng China 13 534 0.7× 103 0.5× 133 1.0× 86 0.9× 81 0.9× 28 777
Sushama Michael Germany 5 623 0.9× 92 0.4× 65 0.5× 49 0.5× 52 0.6× 6 758
Kiran Kulkarni India 13 716 1.0× 354 1.7× 68 0.5× 70 0.7× 46 0.5× 42 863
Elena Mossessova United States 8 1.0k 1.4× 560 2.6× 97 0.8× 58 0.6× 105 1.2× 8 1.3k
Sarah Garrard United States 8 693 1.0× 252 1.2× 52 0.4× 96 1.0× 83 1.0× 9 998
Olesya O. Panasenko Switzerland 21 1.1k 1.5× 124 0.6× 67 0.5× 55 0.6× 49 0.6× 35 1.2k
Dimitris Tzamarias Greece 17 1.5k 2.1× 102 0.5× 280 2.2× 39 0.4× 112 1.3× 26 1.6k

Countries citing papers authored by John Lamb

Since Specialization
Citations

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

Fields of papers citing papers by John Lamb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Lamb

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

All Works

11 of 11 papers shown
1.
Lamb, John, et al.. (2022). Intra-Helical Salt Bridge Contribution to Membrane Protein Insertion. Journal of Molecular Biology. 434(5). 167467–167467. 10 indexed citations
2.
Pozzati, Gabriele, Wensi Zhu, Claudio Bassot, et al.. (2021). Limits and potential of combined folding and docking. Bioinformatics. 38(4). 954–961. 16 indexed citations
3.
Lamb, John & Arne Elofsson. (2021). pyconsFold: a fast and easy tool for modeling and docking using distance predictions. Bioinformatics. 37(21). 3959–3960. 6 indexed citations
4.
Sudha, Govindarajan, Claudio Bassot, John Lamb, et al.. (2021). The evolutionary history of topological variations in the CPA/AT transporters. PLoS Computational Biology. 17(8). e1009278–e1009278. 3 indexed citations
5.
Lamb, John, et al.. (2019). PconsFam: An Interactive Database of Structure Predictions of Pfam Families. Journal of Molecular Biology. 431(13). 2442–2448. 10 indexed citations
6.
Tsirigos, Konstantinos D., Sudha Govindarajan, Claudio Bassot, et al.. (2017). Topology of membrane proteins — predictions, limitations and variations. Current Opinion in Structural Biology. 50. 9–17. 30 indexed citations
7.
Hardwick, James S., Yi Yang, Chunsheng Zhang, et al.. (2005). Identification of biomarkers for tumor endothelial cell proliferation through gene expression profiling. Molecular Cancer Therapeutics. 4(3). 413–425. 24 indexed citations
8.
Page, Andrew M., et al.. (2005). In Vivo Characterization of the Nonessential Budding Yeast Anaphase-Promoting Complex/Cyclosome Components Swm1p, Mnd2p and Apc9p. Genetics. 170(3). 1045–1062. 7 indexed citations
9.
Lamb, John, Stuart Tugendreich, & Phil Hieter. (1995). Tetratrico peptide repeat interactions: to TPR or not to TPR?. Trends in Biochemical Sciences. 20(7). 257–259. 518 indexed citations breakdown →
10.
Lamb, John, William A. Michaud, R Sikorski, & Philip Hieter. (1994). Cdc16p, Cdc23p and Cdc27p form a complex essential for mitosis.. The EMBO Journal. 13(18). 4321–4328. 217 indexed citations
11.
Lamb, John. (1958). Diagnosis of Premature Rupture of Membranes. BMJ. 2(5088). 108–108. 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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