Jackson R. Richards

528 total citations
10 papers, 193 citations indexed

About

Jackson R. Richards is a scholar working on Molecular Biology, Structural Biology and Ophthalmology. According to data from OpenAlex, Jackson R. Richards has authored 10 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Structural Biology and 3 papers in Ophthalmology. Recurrent topics in Jackson R. Richards's work include Ocular Oncology and Treatments (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Retinal Development and Disorders (2 papers). Jackson R. Richards is often cited by papers focused on Ocular Oncology and Treatments (3 papers), Advanced Electron Microscopy Techniques and Applications (3 papers) and Retinal Development and Disorders (2 papers). Jackson R. Richards collaborates with scholars based in United States, China and Germany. Jackson R. Richards's co-authors include Shannon J. Odelberg, Jae Hyuk Yoo, Joshua L. Bonkowsky, E. Kent Korgenski, Jiajia Wang, Shigeki Watanabe, Erik M. Jørgensen, Rajendu Srivastava, Dean Y. Li and Noah Jenkins and has published in prestigious journals such as Neurology, Oncogene and Clinical Cancer Research.

In The Last Decade

Jackson R. Richards

10 papers receiving 192 citations

Peers

Jackson R. Richards

MB

EPIDE

CR

IMMUN

CB

Milica Tešić Mark United States

Satyabrata Sinha United States

Sachi Maeda Japan

Christiane Oddou France

Juliane Medler Germany

Stéphane Dayot France

Mia Niklasson Sweden

Bing Cheng China

Nicholas W. Ashton Australia

S PISELLI France

Milica Tešić Mark United States

Jackson R. Richards

158 ×1.9

MB

18 ×0.5

EPIDE

47 ×1.4

CR

37 ×1.1

IMMUN

20 ×0.6

CB

Citations per year, relative to Jackson R. Richards Jackson R. Richards (= 1×) peers Milica Tešić Mark

Countries citing papers authored by Jackson R. Richards

Since Specialization

Citations

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

Fields of papers citing papers by Jackson R. Richards

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jackson R. Richards. 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 Jackson R. Richards. The network helps show where Jackson R. Richards may publish in the future.

Co-authorship network of co-authors of Jackson R. Richards

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

All Works

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10 of 10 papers shown

1.

Richards, Jackson R., Lise K. Sorensen, Roger K. Wolff, et al.. (2023). Activation of NFAT by HGF and IGF-1 via ARF6 and its effector ASAP1 promotes uveal melanoma metastasis. Oncogene. 42(35). 2629–2640. 3 indexed citations

2.

Truong, Amanda, Jae Hyuk Yoo, John Michael S. Sanchez, et al.. (2020). Chloroquine Sensitizes GNAQ/11 -mutated Melanoma to MEK1/2 Inhibition. Clinical Cancer Research. 26(23). 6374–6386. 38 indexed citations

3.

Richards, Jackson R., et al.. (2019). Mouse models of uveal melanoma: Strengths, weaknesses, and future directions. Pigment Cell & Melanoma Research. 33(2). 264–278. 20 indexed citations

4.

Richards, Jackson R., et al.. (2018). Genetic polymorphisms in tumor necrosis factor alpha and interleukin-10 are associated with an increased risk of cervical cancer. International Immunopharmacology. 66. 154–161. 35 indexed citations

5.

Grossmann, Allie H., Helong Zhao, Noah Jenkins, et al.. (2016). The small GTPase ARF6 regulates protein trafficking to control cellular function during development and in disease. Small GTPases. 10(1). 1–12. 32 indexed citations

6.

Richards, Jackson R., E. Kent Korgenski, Rajendu Srivastava, & Joshua L. Bonkowsky. (2015). Costs of the diagnostic odyssey in children with inherited leukodystrophies. Neurology. 85(13). 1167–1170. 18 indexed citations

7.

Richards, Jackson R., E. Kent Korgenski, Ryan J. Taft, Adeline Vanderver, & Joshua L. Bonkowsky. (2015). Targeted leukodystrophy diagnosis based on charges and yields for testing. American Journal of Medical Genetics Part A. 167(11). 2541–2543. 10 indexed citations

8.

Watanabe, Shigeki, Martin Lehmann, Richard D. Fetter, et al.. (2013). Nanometer-Resolution Fluorescence Electron Microscopy (Nano-EM) in Cultured Cells. Methods in molecular biology. 1117. 503–526. 22 indexed citations

9.

Watanabe, Shigeki, et al.. (2012). Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy. Journal of Visualized Experiments. e3995–e3995. 12 indexed citations

10.

Watanabe, Shigeki, et al.. (2012). Nano-fEM: Protein Localization Using Photo-activated Localization Microscopy and Electron Microscopy. Journal of Visualized Experiments. 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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