Jonathan Eckard

455 total citations
10 papers, 362 citations indexed

About

Jonathan Eckard is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jonathan Eckard has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Jonathan Eckard's work include Cancer, Hypoxia, and Metabolism (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Cancer Research and Treatments (2 papers). Jonathan Eckard is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Cancer Research and Treatments (2 papers). Jonathan Eckard collaborates with scholars based in United States. Jonathan Eckard's co-authors include Krystyna Frenkel, Jing Wu, Catherine B. Klein, Jerzy Karkoszka, Coral Omene, Maarten C. Bosland, Xi Huang, Qing Yang, Jisen Dai and Jinlong Jian and has published in prestigious journals such as Cancer Research, Free Radical Biology and Medicine and Cancer Letters.

In The Last Decade

Jonathan Eckard

10 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Eckard United States 6 103 103 61 60 46 10 362
Yuhun Lu United States 10 150 1.5× 47 0.5× 33 0.5× 38 0.6× 94 2.0× 10 597
Jianguo Xie China 13 206 2.0× 56 0.5× 30 0.5× 97 1.6× 79 1.7× 30 505
Shengjun Fan China 14 274 2.7× 25 0.2× 13 0.2× 53 0.9× 24 0.5× 19 493
Ming-Ling Hsu Taiwan 9 205 2.0× 63 0.6× 40 0.7× 57 0.9× 23 0.5× 10 386
Mi Hwa Han South Korea 13 195 1.9× 13 0.1× 20 0.3× 26 0.4× 26 0.6× 20 541
Sang Kyu Ye South Korea 7 133 1.3× 16 0.2× 20 0.3× 54 0.9× 25 0.5× 9 384
Sebastian Maxeiner Germany 17 320 3.1× 16 0.2× 22 0.4× 52 0.9× 21 0.5× 40 582
Mirazul Islam Bangladesh 9 133 1.3× 8 0.1× 35 0.6× 51 0.8× 35 0.8× 21 308
Roberta M. Johnke United States 13 267 2.6× 7 0.1× 46 0.8× 70 1.2× 25 0.5× 23 571
Bo‐Ram Jin South Korea 14 185 1.8× 12 0.1× 16 0.3× 37 0.6× 18 0.4× 41 442

Countries citing papers authored by Jonathan Eckard

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Eckard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Eckard

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

All Works

10 of 10 papers shown
1.
Vandell, Alexander G., et al.. (2020). Abstract 5998: In vitro and in vivo anticancer effects of D/L-alpha-metyrosine (SM-88), a novel metabolism-based therapy. Cancer Research. 80(16_Supplement). 5998–5998. 2 indexed citations
2.
Fernández-Zapico, Martín E., Dae Won Kim, Philip Philip, et al.. (2019). Abstract B15: Therapeutic potential of targeting amino acid metabolism in pancreatic cancer. Cancer Research. 79(24_Supplement). B15–B15. 2 indexed citations
3.
Wu, Jing, Coral Omene, Jerzy Karkoszka, et al.. (2011). Caffeic acid phenethyl ester (CAPE), derived from a honeybee product propolis, exhibits a diversity of anti-tumor effects in pre-clinical models of human breast cancer. Cancer Letters. 308(1). 43–53. 183 indexed citations
4.
Jian, Jinlong, Qing Yang, Jisen Dai, et al.. (2010). Effects of iron deficiency and iron overload on angiogenesis and oxidative stress—a potential dual role for iron in breast cancer. Free Radical Biology and Medicine. 50(7). 841–847. 59 indexed citations
5.
Eckard, Jonathan, Jisen Dai, Jing Wu, et al.. (2010). Effects of cellular iron deficiency on the formation of vascular endothelial growth factor and angiogenesis.. Cancer Cell International. 10(1). 28–28. 40 indexed citations
6.
Wu, Jing, et al.. (2008). Caffeic acid phenethyl ester (CAPE, a product of propolis) as an inhibitor of human breast cancer growth in a pre-clinical study and its effects on factors involved in cell cycle, angiogenesis, and drug resistance. Cancer Research. 68. 5710–5710. 4 indexed citations
7.
Eckard, Jonathan, Krystyna Frenkel, & Xi Huang. (2005). Iron metabolism and oxygen tension: effect on hypoxia inducible factor (HIF) stabilization. Cancer Research. 65. 264–264. 1 indexed citations
8.
Wu, Jing, Jonathan Eckard, Haobin Chen, et al.. (2005). Altered iron homeostasis involvement in arsenite-mediated cell transformation. Free Radical Biology and Medicine. 40(3). 444–452. 12 indexed citations
9.
Yang, Chengfeng, Jing Wu, Ronghe Zhang, et al.. (2005). Caffeic acid phenethyl ester (CAPE) prevents transformation of human cells by arsenite (As) and suppresses growth of As-transformed cells. Toxicology. 213(1-2). 81–96. 34 indexed citations
10.
Li, Xiaolu, et al.. (2002). Interleukin-1alpha up-regulation in vivo by a potent carcinogen 7,12-dimethylbenz(a)anthracene (DMBA) and control of DMBA-induced inflammatory responses.. PubMed. 62(2). 417–23. 25 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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