John Lamb

2.6k citations
11 papers · 843 · 1 hit paper · h-index 8

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Protein Structure and Dynamics 6
    • Machine Learning in Bioinformatics 2
    • Photosynthetic Processes and Mechanisms 2
    • Microtubule and mitosis dynamics 2

John Lamb

11 papers receiving 833 citations

John Lamb's Hit Papers

Tetratrico peptide repeat interactions: to TPR or not to TPR? 1995 · 518 citations
5180+10+20Years since publication100200300400500

Peers

John Lamb
Comparison fields: 5 of 71
  • Cell Biology 213
  • Aging 19
  • Molecular Biology 725
  • Immunology 94
  • Plant Science 127
Replace Sarah Garrard with:
Sarah Garrard United States
Michelle T. Harreman United States
Sheara W. Fewell United States
Angel Ashikov Germany
Yaxin Yu United States
Kiran Kulkarni India
Olesya O. Panasenko Switzerland
Dimitris Tzamarias Greece
Régis Courbeyrette France
John Lamb relative to Sarah Garrard United States Sarah Garrard's profile →
Citations per field
00.5×1.5×2.4×
Sarah Garrard · 1×
Citations per year

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-authors

The 25 scholars most cited alongside John Lamb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Lamb Line = papers co-authored together John Lamb links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Tetratrico peptide repeat interactions: to TPR or not to TPR?
Hit paper breakdown →
1995518
2 1994217
3 201730
4 200524
5 202116
6 202210
7 201910
8 20057
9 20216
10 20213
11 19582

About John Lamb

John Lamb is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Surgery and Biochemistry, having authored 11 papers that have together received 843 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Protein Structure and Dynamics (6 papers), Machine Learning in Bioinformatics (2 papers), Enzyme Structure and Function (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper) and Abdominal Trauma and Injuries (1 paper). The work is most often cited by research in Cell Biology (213 citations), Aging (19 citations), Molecular Biology (725 citations), Immunology (94 citations) and Plant Science (127 citations). John Lamb has collaborated with scholars based in Sweden, United States and Poland. Frequent co-authors include Stuart Tugendreich, Phil Hieter, Philip Hieter, William A. Michaud, R Sikorski, Arne Elofsson, Claudio Bassot, Nanjiang Shu, Sudha Govindarajan and Konstantinos D. Tsirigos. Their work appears in journals such as Bioinformatics, Journal of Molecular Biology, Molecular Cancer Therapeutics, The EMBO Journal and PLoS Computational Biology.

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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