Mitchell Martin

3.0k total citations · 1 hit paper
19 papers, 1.9k citations indexed

About

Mitchell Martin is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Mitchell Martin has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Surgery. Recurrent topics in Mitchell Martin's work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Adipose Tissue and Metabolism (3 papers). Mitchell Martin is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Adipose Tissue and Metabolism (3 papers). Mitchell Martin collaborates with scholars based in United States, Switzerland and China. Mitchell Martin's co-authors include Gary A. Churchill, Kathleen F. Kerr, Søren Germer, Robert Y.L. Zee, W. Venus So, Patsy M. Nishina, Jürgen Κ. Naggert, Sebastian Beck, Gayle B. Collin and Pietro Maffei and has published in prestigious journals such as Nature Genetics, PLoS ONE and Diabetes.

In The Last Decade

Mitchell Martin

19 papers receiving 1.9k citations

Hit Papers

Analysis of Variance for Gene Expression Microarray Data 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitchell Martin United States 13 1.2k 575 248 151 96 19 1.9k
Cliona Molony United States 17 1.3k 1.1× 863 1.5× 223 0.9× 116 0.8× 106 1.1× 28 2.2k
Christopher D. Brown United States 29 1.2k 1.1× 567 1.0× 124 0.5× 117 0.8× 83 0.9× 50 2.2k
Gerardo Jiménez‐Sánchez Mexico 19 1.2k 1.0× 381 0.7× 211 0.9× 86 0.6× 48 0.5× 34 1.8k
Rong Chen United States 21 840 0.7× 510 0.9× 154 0.6× 101 0.7× 71 0.7× 57 1.8k
Anne M. Glazier United Kingdom 8 904 0.8× 610 1.1× 231 0.9× 116 0.8× 53 0.6× 11 1.9k
Emma Hastings United Kingdom 3 1.1k 1.0× 754 1.3× 128 0.5× 76 0.5× 49 0.5× 3 1.9k
Quanyuan He China 23 1.1k 0.9× 275 0.5× 300 1.2× 70 0.5× 35 0.4× 57 1.8k
Robert B. Scharpf United States 19 1.5k 1.3× 472 0.8× 106 0.4× 114 0.8× 65 0.7× 74 2.6k
Atanas Kamburov Germany 22 2.8k 2.4× 512 0.9× 213 0.9× 203 1.3× 69 0.7× 38 3.9k
Celia Pilar Martinez‐Jimenez Germany 15 1.1k 0.9× 289 0.5× 136 0.5× 115 0.8× 36 0.4× 27 1.6k

Countries citing papers authored by Mitchell Martin

Since Specialization
Citations

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

Fields of papers citing papers by Mitchell Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Martin

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

All Works

19 of 19 papers shown
1.
Wang, Jianmei, Adam Platt, Ruchi Upmanyu, et al.. (2013). IL-6 pathway-driven investigation of response to IL-6 receptor inhibition in rheumatoid arthritis. BMJ Open. 3(8). e003199–e003199. 50 indexed citations
2.
Germer, Søren, Claudia H.T. Tam, Wing‐Yee So, et al.. (2012). Association of the PPARG Pro12Ala polymorphism with type 2 diabetes and incident coronary heart disease in a Hong Kong Chinese population. Diabetes Research and Clinical Practice. 97(3). 483–491. 28 indexed citations
3.
Lee, Janet, Jianmei Wang, Mitchell Martin, et al.. (2011). Genetic variation in UGT1A1 typical of Gilbert syndrome is associated with unconjugated hyperbilirubinemia in patients receiving tocilizumab. Pharmacogenetics and Genomics. 21(7). 365–374. 18 indexed citations
4.
Tam, Claudia H.T., Ying Wang, Heung Man Lee, et al.. (2010). Common Polymorphisms in MTNR1B, G6PC2 and GCK Are Associated with Increased Fasting Plasma Glucose and Impaired Beta-Cell Function in Chinese Subjects. PLoS ONE. 5(7). e11428–e11428. 59 indexed citations
5.
Romero, José R., et al.. (2010). Gene variation of the transient receptor potential cation channel, subfamily M, member 2 (TRPM2) and type 2 diabetes mellitus: A case–control study. Clinica Chimica Acta. 411(19-20). 1437–1440. 10 indexed citations
7.
Wu, Xuxia, Amit Patki, Cristina Lara‐Castro, et al.. (2010). Genes and biochemical pathways in human skeletal muscle affecting resting energy expenditure and fuel partitioning. Journal of Applied Physiology. 110(3). 746–755. 15 indexed citations
8.
Martin, Mitchell, et al.. (2009). Management handling of sexual orientation, religion and belief in the workplace. 5 indexed citations
9.
Zee, Robert Y.L., et al.. (2009). Mean leukocyte telomere length shortening and type 2 diabetes mellitus: a case-control study. Translational research. 155(4). 166–169. 137 indexed citations
10.
Liu, Jiarong, Xuxia Wu, Joseph L. Messina, et al.. (2009). MammalianTribbleshomolog 3 impairs insulin action in skeletal muscle: role in glucose-induced insulin resistance. American Journal of Physiology-Endocrinology and Metabolism. 298(3). E565–E576. 66 indexed citations
11.
Arnaoudova, Elissaveta, Randy D. Dinkins, Uljana Hesse, et al.. (2009). Visualizing and sharing results in bioinformatics projects: GBrowse and GenBank exports. BMC Bioinformatics. 10(S7). 6 indexed citations
12.
Tam, Claudia H.T., Ronald C.W., Wing Yee So, et al.. (2008). Interaction Effect of Genetic Polymorphisms in Glucokinase (GCK) and Glucokinase Regulatory Protein (GCKR) on Metabolic Traits in Healthy Chinese Adults and Adolescents. Diabetes. 58(3). 765–769. 49 indexed citations
13.
Marshall, Jan D., Gayle B. Collin, Sebastian Beck, et al.. (2007). Spectrum ofALMS1variants and evaluation of genotype-phenotype correlations in Alström syndrome. Human Mutation. 28(11). 1114–1123. 110 indexed citations
14.
Wu, Xuxia, Jelai Wang, Xiangqin Cui, et al.. (2007). The effect of insulin on expression of genes and biochemical pathways in human skeletal muscle. Endocrine. 31(1). 5–17. 61 indexed citations
15.
Wu, Xuxia, Jelai Wang, Xiangqin Cui, et al.. (2007). The effect of insulin on expression of genes and biochemical pathways in human skeletal muscle. Endocrine. 32(3). 356–356. 3 indexed citations
16.
Martin, Mitchell, John F. Reidhaar-Olson, & Cristina M. Rondinone. (2007). Genetic Association Meets RNA Interference: Large-Scale Genomic Screens for Causation and Mechanism of Complex Diseases. Pharmacogenomics. 8(5). 455–464. 4 indexed citations
17.
Zee, Robert Y.L., Søren Germer, Abraham Thomas, et al.. (2007). C-reactive protein gene variation and type 2 diabetes mellitus: A case–control study. Atherosclerosis. 197(2). 931–936. 31 indexed citations
18.
Collin, Gayle B., Jan D. Marshall, Akihiro Ikeda, et al.. (2002). Mutations in ALMS1 cause obesity, type 2 diabetes and neurosensory degeneration in Alström syndrome. Nature Genetics. 31(1). 74–78. 277 indexed citations
19.
Kerr, Kathleen F., Mitchell Martin, & Gary A. Churchill. (2000). Analysis of Variance for Gene Expression Microarray Data. Journal of Computational Biology. 7(6). 819–837. 993 indexed citations breakdown →

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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