Mark Reimers

10.1k total citations
52 papers, 4.4k citations indexed

About

Mark Reimers is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Mark Reimers has authored 52 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Oncology. Recurrent topics in Mark Reimers's work include Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers) and Neural dynamics and brain function (4 papers). Mark Reimers is often cited by papers focused on Gene expression and cancer classification (11 papers), Bioinformatics and Genomic Networks (7 papers) and Neural dynamics and brain function (4 papers). Mark Reimers collaborates with scholars based in United States, Sweden and Canada. Mark Reimers's co-authors include John N. Weinstein, Vincent J. Carey, Thomas M. Stulnig, Alan Fogel, Carol Zander Malatesta, Beth Shepard, Clayton Culver, Gail Zivin, William C. Reinhold and Samir Lababidi and has published in prestigious journals such as Blood, Nature Neuroscience and Bioinformatics.

In The Last Decade

Mark Reimers

52 papers receiving 4.3k 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 Reimers United States 31 2.2k 878 748 441 379 52 4.4k
Motohiro Kato Japan 42 1.7k 0.8× 572 0.7× 1.3k 1.7× 446 1.0× 786 2.1× 354 6.8k
Paul A. Johnston United States 36 2.6k 1.2× 400 0.5× 1.1k 1.5× 263 0.6× 211 0.6× 148 5.4k
Ying Xiong China 40 2.1k 0.9× 1.2k 1.3× 1.3k 1.7× 289 0.7× 476 1.3× 164 4.5k
Yin Li China 28 2.4k 1.1× 1.0k 1.1× 1.1k 1.5× 392 0.9× 161 0.4× 104 4.4k
Christopher M. Tan United States 18 3.8k 1.7× 803 0.9× 591 0.8× 537 1.2× 110 0.3× 40 6.1k
Ying Zhou China 35 2.8k 1.3× 470 0.5× 464 0.6× 756 1.7× 270 0.7× 221 5.6k
David Gurwitz Israel 42 2.4k 1.1× 540 0.6× 353 0.5× 908 2.1× 185 0.5× 193 5.8k
William H. Wood United States 43 3.1k 1.4× 981 1.1× 340 0.5× 402 0.9× 127 0.3× 129 5.4k
Savina Jaeger United States 20 2.5k 1.1× 1.1k 1.2× 467 0.6× 281 0.6× 423 1.1× 31 4.3k
Torben A. Kruse Denmark 39 2.7k 1.2× 979 1.1× 565 0.8× 1.1k 2.4× 132 0.3× 214 5.2k

Countries citing papers authored by Mark Reimers

Since Specialization
Citations

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

Fields of papers citing papers by Mark Reimers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Reimers

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

All Works

20 of 20 papers shown
1.
Inyang, Kufreobong E., Margaret G. Petroff, Mark Reimers, et al.. (2023). HPV+ head and neck cancer–derived small extracellular vesicles communicate with TRPV1+ neurons to mediate cancer pain. Pain. 165(3). 608–620. 13 indexed citations
2.
Удпа, Лалита, et al.. (2020). Non-invasive neuromodulation using rTMS and the electromagnetic-perceptive gene (EPG) facilitates plasticity after nerve injury. Brain stimulation. 13(6). 1774–1783. 25 indexed citations
3.
Dozmorov, Mikhail G., Kellen G. Cresswell, Silviu‐Alin Bacanu, et al.. (2020). A method for estimating coherence of molecular mechanisms in major human disease and traits. BMC Bioinformatics. 21(1). 473–473. 1 indexed citations
4.
Valley, Matthew T., M. G. Moore, Jun Zhuang, et al.. (2019). Separation of hemodynamic signals from GCaMP fluorescence measured with wide-field imaging. Journal of Neurophysiology. 123(1). 356–366. 47 indexed citations
5.
Mohajerani, Majid H., Allen W. Chan, Jeffrey LeDue, et al.. (2013). Spontaneous cortical activity alternates between motifs defined by regional axonal projections. Nature Neuroscience. 16(10). 1426–1435. 274 indexed citations
6.
Kim, Albert H., Mark Reimers, Brion S. Maher, et al.. (2010). MicroRNA expression profiling in the prefrontal cortex of individuals affected with schizophrenia and bipolar disorders. Schizophrenia Research. 124(1-3). 183–191. 240 indexed citations
7.
Reimers, Mark. (2010). Making Informed Choices about Microarray Data Analysis. PLoS Computational Biology. 6(5). e1000786–e1000786. 41 indexed citations
8.
Mathé, Ewy A., Giang Huong Nguyen, Elise D. Bowman, et al.. (2009). MicroRNA Expression in Squamous Cell Carcinoma and Adenocarcinoma of the Esophagus: Associations with Survival. Clinical Cancer Research. 15(19). 6192–6200. 319 indexed citations
9.
Martin, Damali N., Brenda J. Boersma, Ming Yi, et al.. (2009). Differences in the Tumor Microenvironment between African-American and European-American Breast Cancer Patients. PLoS ONE. 4(2). e4531–e4531. 173 indexed citations
10.
Ikediobi, Ogechi, Mark Reimers, Steffen Durinck, et al.. (2008). In vitro differential sensitivity of melanomas to phenothiazines is based on the presence of codon 600 BRAF mutation. Molecular Cancer Therapeutics. 7(6). 1337–1346. 11 indexed citations
11.
Amundson, Sally A., T. Khanh, Lisa C. Vinikoor, et al.. (2008). Integrating Global Gene Expression and Radiation Survival Parameters across the 60 Cell Lines of the National Cancer Institute Anticancer Drug Screen. Cancer Research. 68(2). 415–424. 207 indexed citations
12.
Eichler, Gabriel S., Mark Reimers, David W. Kane, & John N. Weinstein. (2007). The LeFE algorithm: embracing the complexity of gene expression in the interpretation of microarray data. Genome biology. 8(9). R187–R187. 14 indexed citations
13.
Todoric, Jelena, Michael Löffler, J. Huber, et al.. (2006). Adipose tissue inflammation induced by high-fat diet in obese diabetic mice is prevented by n−3 polyunsaturated fatty acids. Diabetologia. 49(9). 2109–2119. 240 indexed citations
14.
Löffler, Michael, Martin Bilban, Mark Reimers, W. Waldhäusl, & Thomas M. Stulnig. (2006). Blood Glucose-Lowering Nuclear Receptor Agonists Only Partially Normalize Hepatic Gene Expression in db/db Mice. Journal of Pharmacology and Experimental Therapeutics. 316(2). 797–804. 23 indexed citations
15.
16.
Reimers, Mark & John N. Weinstein. (2005). Quality assessment of microarrays: Visualization of spatial artifacts and quantitation of regional biases. BMC Bioinformatics. 6(1). 166–166. 41 indexed citations
17.
Wen, Sicheng, et al.. (2004). Inflammatory Gene Profiles in Gastric Mucosa during Helicobacter pylori Infection in Humans. The Journal of Immunology. 172(4). 2595–2606. 68 indexed citations
18.
Lui, Weng‐Onn, Theodoros Foukakis, Johan Lidén, et al.. (2004). Expression profiling reveals a distinct transcription signature in follicular thyroid carcinomas with a PAX8-PPARγ fusion oncogene. Oncogene. 24(8). 1467–1476. 52 indexed citations
19.
Szakács, Gergely, Samir Lababidi, Uma Shankavaram, et al.. (2004). Predicting drug sensitivity and resistance. Cancer Cell. 6(2). 129–137. 436 indexed citations
20.
Stulnig, Thomas M., Knut R. Steffensen, Hui Gao, et al.. (2002). Novel Roles of Liver X Receptors Exposed by Gene Expression Profiling in Liver and Adipose Tissue. Molecular Pharmacology. 62(6). 1299–1305. 128 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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