Mark L. Grimes

2.4k total citations
34 papers, 1.9k citations indexed

About

Mark L. Grimes is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark L. Grimes has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark L. Grimes's work include Cellular transport and secretion (10 papers), Nerve injury and regeneration (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Mark L. Grimes is often cited by papers focused on Cellular transport and secretion (10 papers), Nerve injury and regeneration (7 papers) and Lipid Membrane Structure and Behavior (6 papers). Mark L. Grimes collaborates with scholars based in United States, New Zealand and Canada. Mark L. Grimes's co-authors include William C. Mobley, Lee E. Eiden, Anna Iacangelo, Eric C. Beattie, Edward Herbert, Hans‐Urs Affolter, J Valletta, Jie Zhou, Nigel W. Bunnett and Deborah E. Hall and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Mark L. Grimes

33 papers receiving 1.8k 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 L. Grimes United States 19 1.2k 704 693 150 141 34 1.9k
John M. Aletta United States 26 1.3k 1.1× 529 0.8× 476 0.7× 137 0.9× 124 0.9× 42 1.9k
Martine Pinçon‐Raymond France 28 1.5k 1.3× 554 0.8× 445 0.6× 114 0.8× 317 2.2× 61 2.3k
Roman Urfer United States 22 1.1k 0.9× 726 1.0× 201 0.3× 123 0.8× 187 1.3× 28 1.8k
Kazuko Fujisawa Japan 15 2.2k 1.8× 537 0.8× 1.2k 1.7× 118 0.8× 256 1.8× 16 3.0k
Yelena M. Altshuller United States 15 2.4k 2.0× 431 0.6× 824 1.2× 96 0.6× 392 2.8× 17 3.0k
Vera Novitskaya United Kingdom 23 1.2k 1.0× 400 0.6× 322 0.5× 180 1.2× 286 2.0× 28 1.9k
Soochul Park South Korea 22 756 0.6× 554 0.8× 387 0.6× 105 0.7× 51 0.4× 73 1.4k
Brigitte Anliker Germany 13 1.3k 1.1× 554 0.8× 523 0.8× 266 1.8× 613 4.3× 18 2.3k
Takashi Shiromizu Japan 15 1.0k 0.8× 439 0.6× 563 0.8× 153 1.0× 96 0.7× 26 1.5k
Girish Putcha United States 15 1.5k 1.2× 386 0.5× 230 0.3× 119 0.8× 147 1.0× 27 2.1k

Countries citing papers authored by Mark L. Grimes

Since Specialization
Citations

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

Fields of papers citing papers by Mark L. Grimes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark L. Grimes

This figure shows the co-authorship network connecting the top 25 collaborators of Mark L. Grimes. A scholar is included among the top collaborators of Mark L. Grimes 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 L. Grimes. Mark L. Grimes 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.
Grimes, Mark L., et al.. (2025). Evaluating the precision and velocity of factory vs. handloaded lead‐free ammunition. Wildlife Society Bulletin. 49(1).
2.
Lanchy, Jean-Marc, Tyler Levy, Anthony Possemato, et al.. (2024). Craniofacial chondrogenesis in organoids from human stem cell-derived neural crest cells. iScience. 27(4). 109585–109585. 4 indexed citations
3.
Ross, Karen, Guolin Zhang, Cüneyt Gürcan Akçora, et al.. (2023). Network models of protein phosphorylation, acetylation, and ubiquitination connect metabolic and cell signaling pathways in lung cancer. PLoS Computational Biology. 19(3). e1010690–e1010690. 9 indexed citations
4.
Yang, Won Seok, Ming Zhou, Hana Yoon, et al.. (2021). Proteomics analysis identifies PEA-15 as an endosomal phosphoprotein that regulates α5β1 integrin endocytosis. Scientific Reports. 11(1). 19830–19830. 3 indexed citations
5.
Palacios‐Moreno, Juan, et al.. (2020). PAG1 directs SRC-family kinase intracellular localization to mediate receptor tyrosine kinase-induced differentiation. Molecular Biology of the Cell. 31(20). 2269–2282. 9 indexed citations
6.
Fernandez, Nicolas, Gregory W. Gundersen, Adeeb Rahman, et al.. (2017). Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data. Scientific Data. 4(1). 170151–170151. 154 indexed citations
7.
Palacios‐Moreno, Juan, Ailan Guo, Matthew P. Stokes, et al.. (2015). Neuroblastoma Tyrosine Kinase Signaling Networks Involve FYN and LYN in Endosomes and Lipid Rafts. PLoS Computational Biology. 11(4). e1004130–e1004130. 56 indexed citations
8.
Grimes, Mark L., Wan-Jui Lee, Laurens van der Maaten, & Paul Shannon. (2013). Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways. PLoS ONE. 8(1). e52884–e52884. 15 indexed citations
9.
Shannon, Paul, Mark L. Grimes, Burak Kutlu, Jan Bot, & David J. Galas. (2013). RCytoscape: tools for exploratory network analysis. BMC Bioinformatics. 14(1). 217–217. 73 indexed citations
10.
McCaffrey, Gretchen, et al.. (2012). NGF Causes TrkA to Specifically Attract Microtubules to Lipid Rafts. PLoS ONE. 7(4). e35163–e35163. 31 indexed citations
11.
McCaffrey, Gretchen, et al.. (2009). High‐Resolution Fractionation of Signaling Endosomes Containing Different Receptors. Traffic. 10(7). 938–950. 24 indexed citations
12.
Weible, Michael W., et al.. (2004). Comparison of nerve terminal events in vivo effecting retrograde transport of vesicles containing neurotrophins or synaptic vesicle components. Journal of Neuroscience Research. 75(6). 771–781. 12 indexed citations
13.
François, Fleur, et al.. (2001). A Population of PC12 Cells That Is Initiating Apoptosis Can Be Rescued by Nerve Growth Factor. Molecular and Cellular Neuroscience. 18(4). 347–362. 12 indexed citations
14.
François, Fleur, et al.. (2000). CREB is cleaved by caspases during neural cell apoptosis. FEBS Letters. 486(3). 281–284. 41 indexed citations
15.
François, Fleur & Mark L. Grimes. (1999). Phosphorylation‐Dependent Akt Cleavage in Neural Cell In Vitro Reconstitution of Apoptosis. Journal of Neurochemistry. 73(4). 1773–1776. 30 indexed citations
16.
Zhou, Jie, J Valletta, Mark L. Grimes, & William C. Mobley. (1995). Multiple Levels for Regulation of TrkA in PC12 Cells by Nerve Growth Factor. Journal of Neurochemistry. 65(3). 1146–1156. 64 indexed citations
17.
Grimes, Mark L. & Regis B. Kelly. (1992). Sorting of Chromogranin B into Immature Secretory Granules in Pheochromocytoma (PCI2) Cellsa. Annals of the New York Academy of Sciences. 674(1). 38–52. 9 indexed citations
18.
Iacangelo, Anna, Mark L. Grimes, & Lee E. Eiden. (1991). The Bovine Chromogranin A Gene: Structural Basis for Hormone Regulation and Generation of Biologically Active Peptides. Molecular Endocrinology. 5(11). 1651–1660. 52 indexed citations
19.
Lloyd, Ricardo V., Anna Iacangelo, Lee E. Eiden, et al.. (1989). Chromogranin A and B messenger ribonucleic acids in pituitary and other normal and neoplastic human endocrine tissues.. PubMed. 60(4). 548–56. 66 indexed citations
20.
Nickoloff, Brian J., et al.. (1982). Affinity directed reactions of 3-trimethylaminomethyl catechol with the acetylcholine receptor from Torpedo californica. Biochemical and Biophysical Research Communications. 107(4). 1265–1272. 3 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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