Daniel S. Straus

74 papers receiving 4.7k citations

Hit Papers

15-Deoxy-Δ 12,14 -prostaglandin J 2 inhibits multiple steps in the NF-κB signaling pathway 2000 · 906 citations
9062000202620082017250500750

Peers

Daniel S. Straus
Comparison fields: 5 of 112
  • Biochemistry 433
  • Cancer Research 897
  • Endocrinology, Diabetes and Metabolism 854
  • Pharmacology 808
  • Molecular Biology 2.9k
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Citations per year

Countries citing papers authored by Daniel S. Straus

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Straus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel S. Straus. 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 Daniel S. Straus. The network helps show where Daniel S. Straus may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel S. Straus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel S. Straus Line = papers co-authored together Daniel S. Straus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
15-Deoxy-Δ 12,14 -prostaglandin J 2 inhibits multiple steps in the NF-κB signaling pathway
Hit paper breakdown →
2000906
2 2001469
3 2007465
4
15-deoxy Δ^ -PGJ2 inhibits multiple steps in the NF-kappaB signaling pathway
2000360
5 1984187
6 1990158
7 1990128
8 1994128
9 1994120
10 1991111
11 2007109
12 2008105
13 201391
14 199384
15 200580
16 198180
17 201075
18 199868
19 199160
20 199853

About Daniel S. Straus

Daniel S. Straus is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology, Clinical Biochemistry and Cell Biology, having authored 75 papers that have together received 4.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Metabolism, Diabetes, and Cancer (20 papers), Pancreatic function and diabetes (15 papers), Peroxisome Proliferator-Activated Receptors (9 papers), NF-κB Signaling Pathways (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), RNA and protein synthesis mechanisms (7 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Biochemistry (433 citations), Cancer Research (897 citations), Endocrinology, Diabetes and Metabolism (854 citations), Pharmacology (808 citations) and Molecular Biology (2.9k citations). Daniel S. Straus has collaborated with scholars based in United States, Russia and Croatia. Frequent co-authors include Christopher K. Glass, Norman W. Marten, Mercedes Ricote, John S. Welch, Mei Li, Gabriel Pascual, Gourisankar Ghosh, Lei Lei Sengchanthalangsy, Jimmy W. Lee and John M. Hayden. Their work appears in journals such as Endocrinology, Journal of Biological Chemistry, Journal of Cellular Physiology, Biochemical Journal and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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