Mark Martin

451 total citations
11 papers, 242 citations indexed

About

Mark Martin is a scholar working on Molecular Biology, Immunology and Immunology and Allergy. According to data from OpenAlex, Mark Martin has authored 11 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Immunology and Allergy. Recurrent topics in Mark Martin's work include RNA Interference and Gene Delivery (3 papers), Cell Adhesion Molecules Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mark Martin is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Cell Adhesion Molecules Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). Mark Martin collaborates with scholars based in United States, Australia and Italy. Mark Martin's co-authors include Yurii Chinenov, Mi Hye Yu, Michael T. Henzl, Christopher J. Coombs, Rui Wang, John F. Patton, Jacquelyn Gerhart, Arturo Bravo‐Nuevo, Mindy George‐Weinstein and Jonathan T. Sullivan and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Gene.

In The Last Decade

Mark Martin

10 papers receiving 239 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Martin United States 7 196 43 26 24 16 11 242
Kim D. Falkenberg Netherlands 6 188 1.0× 40 0.9× 29 1.1× 51 2.1× 5 0.3× 9 253
Qianlan Xu United States 10 227 1.2× 42 1.0× 22 0.8× 57 2.4× 23 1.4× 22 323
Laura Trachsel-Moncho Spain 7 145 0.7× 17 0.4× 31 1.2× 21 0.9× 6 0.4× 10 221
Ahsen Chaudhry Canada 4 153 0.8× 38 0.9× 12 0.5× 25 1.0× 5 0.3× 6 245
Garret Guenther United States 5 211 1.1× 51 1.2× 44 1.7× 25 1.0× 9 0.6× 6 323
Kevin D. Ross United States 5 110 0.6× 13 0.3× 100 3.8× 17 0.7× 7 0.4× 7 223
Min Liang China 15 516 2.6× 16 0.4× 25 1.0× 37 1.5× 5 0.3× 29 573
Alexander Dakhovnik Switzerland 5 158 0.8× 72 1.7× 21 0.8× 11 0.5× 9 0.6× 8 286
Shin‐Chen Hou China 7 175 0.9× 33 0.8× 34 1.3× 10 0.4× 28 1.8× 10 330
Britta Jedamzik Germany 7 201 1.0× 53 1.2× 12 0.5× 23 1.0× 2 0.1× 7 384

Countries citing papers authored by Mark Martin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Martin. A scholar is included among the top collaborators of Mark 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 Mark Martin. Mark Martin 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.
Gerhart, Jacquelyn, Alison Heffer, Mark Martin, et al.. (2023). Myo/Nog Cells Give Rise to Myofibroblasts During Epiretinal Membrane Formation in a Mouse Model of Proliferative Vitreoretinopathy. Investigative Ophthalmology & Visual Science. 64(2). 1–1. 4 indexed citations
3.
Kim, Jessica, Mark Martin, Grzegorz Górski, et al.. (2021). Acute Response and Neuroprotective Role of Myo/Nog Cells Assessed in a Rat Model of Focal Brain Injury. Frontiers in Neuroscience. 15. 780707–780707. 3 indexed citations
4.
Gerhart, Jacquelyn, et al.. (2020). Myo/Nog cells are nonprofessional phagocytes. PLoS ONE. 15(8). e0235898–e0235898. 4 indexed citations
5.
Gerhart, Jacquelyn, Jessica Bowers, Mark Martin, et al.. (2020). Brain-specific angiogenesis inhibitor 1 is expressed in the Myo/Nog cell lineage. PLoS ONE. 15(7). e0234792–e0234792. 9 indexed citations
6.
Patton, John F., et al.. (2005). Identification of functional elements in the murine Gabpα/ATP synthase coupling factor 6 bi-directional promoter. Gene. 369. 35–44. 19 indexed citations
7.
Chinenov, Yurii, Michael T. Henzl, & Mark Martin. (2000). The α and β Subunits of the GA-binding Protein Form a Stable Heterodimer in Solution. Journal of Biological Chemistry. 275(11). 7749–7756. 45 indexed citations
8.
Chinenov, Yurii, Christopher J. Coombs, & Mark Martin. (2000). Isolation of a bi-directional promoter directing expression of the mouse GABPα and ATP synthase coupling factor 6 genes. Gene. 261(2). 311–320. 16 indexed citations
9.
Chinenov, Yurii, et al.. (1998). Identification of Redox-sensitive Cysteines in GA-binding Protein-α That Regulate DNA Binding and Heterodimerization. Journal of Biological Chemistry. 273(11). 6203–6209. 34 indexed citations
10.
Yu, Mi Hye, et al.. (1997). GA-binding Protein-dependent Transcription Initiator Elements. Journal of Biological Chemistry. 272(46). 29060–29067. 52 indexed citations
11.
Martin, Mark, et al.. (1996). Redox Regulation of GA-binding Protein-α DNA Binding Activity. Journal of Biological Chemistry. 271(41). 25617–25623. 56 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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