Randall Evans

1.3k total citations
24 papers, 991 citations indexed

About

Randall Evans is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Randall Evans has authored 24 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Dermatology. Recurrent topics in Randall Evans's work include Cancer-related Molecular Pathways (6 papers), Cell death mechanisms and regulation (5 papers) and DNA Repair Mechanisms (3 papers). Randall Evans is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cell death mechanisms and regulation (5 papers) and DNA Repair Mechanisms (3 papers). Randall Evans collaborates with scholars based in United States, France and Canada. Randall Evans's co-authors include Michael Andreeff, Honnavara N. Ananthaswamy, Margaret L. Kripke, Stephen E. Ullrich, Teresa McQueen, Susan M. Loughlin, Pat Cox, Marina Konopleva, Wendy Schober and Bing Z. Carter and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Blood.

In The Last Decade

Randall Evans

23 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Randall Evans United States 13 609 220 157 132 129 24 991
Majken Westergaard Denmark 11 708 1.2× 185 0.8× 106 0.7× 310 2.3× 13 0.1× 14 1.0k
Bixin Xi China 17 488 0.8× 216 1.0× 99 0.6× 196 1.5× 10 0.1× 26 848
Shilpak Chatterjee United States 18 254 0.4× 307 1.4× 32 0.2× 76 0.6× 21 0.2× 40 947
Lidia Avalle Italy 17 519 0.9× 491 2.2× 67 0.4× 217 1.6× 12 0.1× 25 1.1k
Meena Sharma United States 17 653 1.1× 127 0.6× 129 0.8× 267 2.0× 5 0.0× 25 1.1k
Laura Rossi Italy 21 477 0.8× 216 1.0× 81 0.5× 76 0.6× 5 0.0× 39 1.1k
Claudia Buerger Germany 14 514 0.8× 172 0.8× 169 1.1× 39 0.3× 9 0.1× 25 929
Yongxin Zou China 21 1.2k 1.9× 269 1.2× 20 0.1× 363 2.8× 23 0.2× 54 1.5k
Alessio Giubellino United States 21 605 1.0× 329 1.5× 94 0.6× 308 2.3× 7 0.1× 77 1.3k
Leonid A. Sitailo United States 12 495 0.8× 239 1.1× 81 0.5× 89 0.7× 7 0.1× 15 795

Countries citing papers authored by Randall Evans

Since Specialization
Citations

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

Fields of papers citing papers by Randall Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randall Evans

This figure shows the co-authorship network connecting the top 25 collaborators of Randall Evans. A scholar is included among the top collaborators of Randall Evans 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 Randall Evans. Randall Evans 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.
Bobko, Andrey A., Marieta Gencheva, Julie M. Roda, et al.. (2020). Hypoxia-Inducible Factor α Subunits Regulate Tie2-Expressing Macrophages That Influence Tumor Oxygen and Perfusion in Murine Breast Cancer. The Journal of Immunology. 205(8). 2301–2311. 9 indexed citations
2.
Dakhlallah, Duaa, et al.. (2015). Abstract PR03: Macrophage phenotype drives tumor program via epigenetic machinery carried in secreted microvesicles. Cancer Research. 75(1_Supplement). PR03–PR03. 1 indexed citations
3.
Chen, Duan, Andrey A. Bobko, Amy C. Gross, et al.. (2014). Involvement of Tumor Macrophage HIFs in Chemotherapy Effectiveness: Mathematical Modeling of Oxygen, pH, and Glutathione. PLoS ONE. 9(10). e107511–e107511. 22 indexed citations
4.
5.
LeRoux, Michele, Edmond J. Auzenne, Sukhen C. Ghosh, et al.. (2009). MRP- and BCL-2-mediated drug resistance in human SCLC: Effects of apoptotic sphingolipids in vitro. Lung Cancer. 66(1). 48–57. 7 indexed citations
6.
Zhang, W, Marina Konopleva, Vivian Ruvolo, et al.. (2008). Sorafenib induces apoptosis of AML cells via Bim-mediated activation of the intrinsic apoptotic pathway. Leukemia. 22(4). 808–818. 121 indexed citations
7.
LeRoux, Michele, Edmond J. Auzenne, Randall Evans, et al.. (2007). Sphingolipids and the sphingosine kinase inhibitor, SKI II, induce BCL‐2‐independent apoptosis in human prostatic adenocarcinoma cells. The Prostate. 67(15). 1699–1717. 34 indexed citations
8.
Henderson, Ying C., Mitchell J. Frederick, Arumugam Jayakumar, et al.. (2006). Human LBP-32/MGR is a Repressor of the P450scc in Human Choriocarcinoma Cell Line JEG-3. Placenta. 28(2-3). 152–160. 12 indexed citations
9.
Carter, Bing Z., Duncan H. Mak, Wendy Schober, et al.. (2006). Triptolide induces caspase-dependent cell death mediated via the mitochondrial pathway in leukemic cells. Blood. 108(2). 630–637. 159 indexed citations
10.
Samudio, Ismael, Marina Konopleva, Hélène Pelicano, et al.. (2006). A Novel Mechanism of Action of Methyl-2-cyano-3,12 Dioxoolean-1,9 Diene-28-oate: Direct Permeabilization of the Inner Mitochondrial Membrane to Inhibit Electron Transport and Induce Apoptosis. Molecular Pharmacology. 69(4). 1182–1193. 49 indexed citations
11.
Nishino, Michiya, Y. KURASAWA, Randall Evans, et al.. (2006). NudC Is Required for Plk1 Targeting to the Kinetochore and Chromosome Congression. Current Biology. 16(14). 1414–1421. 76 indexed citations
12.
Samudio, Ismael, Marina Konopleva, Numsen Hail, et al.. (2005). 2-Cyano-3,12-dioxooleana-1,9-dien-28-imidazolide (CDDO-Im) Directly Targets Mitochondrial Glutathione to Induce Apoptosis in Pancreatic Cancer. Journal of Biological Chemistry. 280(43). 36273–36282. 93 indexed citations
13.
Evans, Randall, et al.. (2002). Nuclear localization is required for induction of apoptotic cell death by the Rb-associated p84N5 death domain protein. Oncogene. 21(30). 4691–4695. 5 indexed citations
14.
Evans, Randall, et al.. (1999). Apoptosis Induced by the Nuclear Death Domain Protein p84N5 Is Inhibited by Association with Rb Protein. Molecular Biology of the Cell. 10(10). 3251–3261. 33 indexed citations
15.
16.
Hossan, Elizabeth, et al.. (1999). Intraprostatic AD-p53 gene therapy followed by radical prostatectomy: feasibility and preliminary results. Prostate Cancer and Prostatic Diseases. 2(S3). S27–S27. 4 indexed citations
17.
Ananthaswamy, Honnavara N., Anny Fourtanier, Randall Evans, et al.. (1998). p53 Mutations in Hairless SKH-hr1 Mouse Skin Tumors Induced by a Solar Simulator. Photochemistry and Photobiology. 67(2). 227–227. 53 indexed citations
18.
Ferguson, Heather, et al.. (1997). Mosaicism in pseudoachondroplasia. American Journal of Medical Genetics. 70(3). 287–291. 2 indexed citations
19.
Ferguson, Heather, et al.. (1997). Mosaicism in pseudoachondroplasia. American Journal of Medical Genetics. 70(3). 287–291. 27 indexed citations
20.
Ananthaswamy, Honnavara N., Susan M. Loughlin, Pat Cox, et al.. (1997). Sunlight and skin cancer: Inhibition of p53 mutations in UV-irradiated mouse skin by sunscreens. Nature Medicine. 3(5). 510–514. 185 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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