Christopher Martin

622 total citations
9 papers, 486 citations indexed

About

Christopher Martin is a scholar working on Molecular Biology, Nutrition and Dietetics and Genetics. According to data from OpenAlex, Christopher Martin has authored 9 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 1 paper in Nutrition and Dietetics and 1 paper in Genetics. Recurrent topics in Christopher Martin's work include RNA and protein synthesis mechanisms (6 papers), Fungal and yeast genetics research (3 papers) and RNA Research and Splicing (3 papers). Christopher Martin is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Fungal and yeast genetics research (3 papers) and RNA Research and Splicing (3 papers). Christopher Martin collaborates with scholars based in United States and Switzerland. Christopher Martin's co-authors include Russell Bell, Sudhir Sahasrabudhe, Sumit K. Chanda, Richard A. Young, Jane Gitschier, Barbara Levinson, Seymour Packman, Chris D. Vulpe, Jyoti Srivastava and Trey Ideker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Molecular and Cellular Biology.

In The Last Decade

Christopher Martin

9 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Martin United States 7 394 76 57 54 47 9 486
Toshiaki Hosaka Japan 12 288 0.7× 110 1.4× 35 0.6× 28 0.5× 36 0.8× 29 523
Lea Knoepfel Switzerland 6 333 0.8× 34 0.4× 52 0.9× 46 0.9× 53 1.1× 7 542
Michael J. Fetchko Switzerland 9 276 0.7× 26 0.3× 40 0.7× 50 0.9× 54 1.1× 14 400
Sepehr Ehsani Canada 13 376 1.0× 244 3.2× 13 0.2× 34 0.6× 28 0.6× 19 541
Julia Poland Germany 10 297 0.8× 14 0.2× 20 0.4× 40 0.7× 75 1.6× 15 453
Ramona Weber Germany 13 547 1.4× 22 0.3× 32 0.6× 29 0.5× 21 0.4× 17 621
Maria Pia Testa United States 5 347 0.9× 30 0.4× 16 0.3× 60 1.1× 50 1.1× 8 480
David P. Waterman United States 11 527 1.3× 9 0.1× 50 0.9× 106 2.0× 66 1.4× 18 634
Hadiya A. Watson United States 10 516 1.3× 46 0.6× 18 0.3× 485 9.0× 22 0.5× 10 669
M.F. Counis France 12 457 1.2× 24 0.3× 36 0.6× 88 1.6× 33 0.7× 21 534

Countries citing papers authored by Christopher Martin

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Martin

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

All Works

9 of 9 papers shown
1.
Blom, Thomas, et al.. (2024). Estimating error rates for single molecule protein sequencing experiments. PLoS Computational Biology. 20(7). e1012258–e1012258. 2 indexed citations
2.
Jing, Donghui, et al.. (2013). Use of microcarriers in Mobius® CellReady bioreactors to support growth of adherent cells. BMC Proceedings. 7(S6). 2 indexed citations
3.
Bandyopadhyay, Sourav, Chih-Yuan Chiang, Jyoti Srivastava, et al.. (2010). A human MAP kinase interactome. Nature Methods. 7(10). 801–805. 157 indexed citations
4.
Mukherji, Mridul, Russell Bell, Ľubica Supeková, et al.. (2006). Genome-wide functional analysis of human cell-cycle regulators. Proceedings of the National Academy of Sciences. 103(40). 14819–14824. 107 indexed citations
5.
Collins, Colin C., Stanislav Volik, David Kowbel, et al.. (2001). Comprehensive Genome Sequence Analysis of a Breast Cancer Amplicon. Genome Research. 11(6). 1034–1042. 30 indexed citations
6.
Levinson, Barbara, et al.. (1994). The mottled gene is the mouse homologue of the Menkes disease gene. Nature Genetics. 6(4). 369–373. 89 indexed citations
7.
Martin, Christopher, et al.. (1990). Genetic Exploration of Interactive Domains in RNA Polymerase II Subunits. Molecular and Cellular Biology. 10(5). 1908–1914. 8 indexed citations
8.
Scafe, Charles, et al.. (1990). Conditional Mutations Occur Predominantly in Highly Conserved Residues of RNA Polymerase II Subunits. Molecular and Cellular Biology. 10(3). 1270–1275. 69 indexed citations
9.
Martin, Christopher & Richard A. Young. (1989). KEX2 Mutations Suppress RNA Polymerase II Mutants and Alter the Temperature Range of Yeast Cell Growth. Molecular and Cellular Biology. 9(6). 2341–2349. 22 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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