Ramon Wade

947 total citations · 1 hit paper
7 papers, 794 citations indexed

About

Ramon Wade is a scholar working on Molecular Biology, Immunology and Allergy and Cell Biology. According to data from OpenAlex, Ramon Wade has authored 7 papers receiving a total of 794 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and Allergy and 3 papers in Cell Biology. Recurrent topics in Ramon Wade's work include Cell Adhesion Molecules Research (5 papers), Cellular Mechanics and Interactions (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Ramon Wade is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Cellular Mechanics and Interactions (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Ramon Wade collaborates with scholars based in United States and Japan. Ramon Wade's co-authors include Mark A. Smith, Keisuke Hirai, Shigeru Chiba, Miguel A. Pappolla, George Perry, Scott Vande Pol, Nicole Brimer, Charles E. Lyons, Chris A. Flask and Christopher Hall and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Oncogene.

In The Last Decade

Ramon Wade

7 papers receiving 783 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RNA Oxidation Is a Prominent Feature of Vulnerable Neurons in Alzheimer’s Disease

1999 614 citations George Perry, Miguel A. Pappolla et al. Journal of Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramon Wade United States	7	459	330	94	90	89	7	794
Ursula Mönning Germany	15	460 1.0×	544 1.6×	98 1.0×	78 0.9×	158 1.8×	20	841
Yung-Feng Liao Taiwan	14	275 0.6×	305 0.9×	77 0.8×	50 0.6×	161 1.8×	20	673
Ricardo Palacios Peláez United States	8	324 0.7×	300 0.9×	90 1.0×	26 0.3×	143 1.6×	11	670
A.M. Martı́nez Spain	17	383 0.8×	188 0.6×	50 0.5×	63 0.7×	81 0.9×	64	736
Judy Cam United States	13	380 0.8×	634 1.9×	165 1.8×	163 1.8×	105 1.2×	14	957
Dominika Piłat Poland	11	269 0.6×	329 1.0×	43 0.5×	45 0.5×	76 0.9×	15	673
Patrick L. McGeer Canada	12	392 0.9×	511 1.5×	110 1.2×	78 0.9×	316 3.6×	13	1.0k
Jenny U. Johansson United States	15	290 0.6×	270 0.8×	160 1.7×	91 1.0×	286 3.2×	16	862
Noriko Kawamura Japan	16	275 0.6×	133 0.4×	58 0.6×	71 0.8×	126 1.4×	45	679

Countries citing papers authored by Ramon Wade

Since Specialization

Citations

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

Fields of papers citing papers by Ramon Wade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramon Wade

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

All Works

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7 of 7 papers shown

1.

Farr, George W., Christopher Hall, Ramon Wade, et al.. (2019). Functionalized Phenylbenzamides Inhibit Aquaporin-4 Reducing Cerebral Edema and Improving Outcome in Two Models of CNS Injury. Neuroscience. 404. 484–498. 46 indexed citations

2.

Brimer, Nicole, Ramon Wade, & Scott Vande Pol. (2014). Interactions between E6, FAK, and GIT1 at Paxillin LD4 Are Necessary for Transformation by Bovine Papillomavirus 1 E6. Journal of Virology. 88(17). 9927–9933. 7 indexed citations

3.

Wade, Ramon, Nicole Brimer, Charles E. Lyons, & Scott Vande Pol. (2011). Paxillin Enables Attachment-independent Tyrosine Phosphorylation of Focal Adhesion Kinase and Transformation by RAS. Journal of Biological Chemistry. 286(44). 37932–37944. 15 indexed citations

4.

Wade, Ramon, Nicole Brimer, & Scott Vande Pol. (2008). Transformation by Bovine Papillomavirus Type 1 E6 Requires Paxillin. Journal of Virology. 82(12). 5962–5966. 18 indexed citations

5.

Wade, Ramon & Scott Vande Pol. (2005). Minimal features of paxillin that are required for the tyrosine phosphorylation of focal adhesion kinase. Biochemical Journal. 393(2). 565–573. 19 indexed citations

6.

Wade, Ramon, et al.. (2002). Paxillin null embryonic stem cells are impaired in cell spreading and tyrosine phosphorylation of focal adhesion kinase. Oncogene. 21(1). 96–107. 75 indexed citations

7.

Perry, George, Miguel A. Pappolla, Ramon Wade, et al.. (1999). RNA Oxidation Is a Prominent Feature of Vulnerable Neurons in Alzheimer’s Disease. Journal of Neuroscience. 19(6). 1959–1964. 614 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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