George J. Cerniglia

4.8k citations
47 papers · 3.7k indexed · 1 hit paper · h-index 28
Topics
Cancer, Hypoxia, and Metabolism (11 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)Cancer-related Molecular Pathways (8 papers)

In The Last Decade

George J. Cerniglia

47 papers receiving 3.6k citations

Hit Papers

Microtiter plate assay for the measurement of glutathione...19902026200220141990250500750

Peers

George J. Cerniglia
Comparison fields: 5 of 132
  • Molecular Biology 1.9k
  • Oncology 943
  • Cancer Research 716
  • Pulmonary and Respiratory Medicine 505
  • Cell Biology 346
Replace Jau‐Song Yu with:
Jau‐Song Yu Taiwan
Gregory V. Kryukov United States
Takaaki Sato Japan
Brian L. Hood United States
Silvia Bruno Italy
Tatsuhiko Furukawa Japan
Thomas G. Hofmann Germany
Didier Decaudin France
Bert Schutte Netherlands
Hans Marquardt Germany
George J. Cerniglia relative to Jau‐Song Yu Taiwan Jau‐Song Yu's profile →
Citations per field
00.5×1.5×
Jau‐Song Yu · 1×
Citations per year

Countries citing papers authored by George J. Cerniglia

Since Specialization
Citations

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

Fields of papers citing papers by George J. Cerniglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George J. Cerniglia. 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 George J. Cerniglia. The network helps show where George J. Cerniglia may publish in the future.

Co-authorship network of co-authors of George J. Cerniglia

This figure shows the co-authorship network connecting the top 25 collaborators of George J. Cerniglia. A scholar is included among the top collaborators of George J. Cerniglia 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 George J. Cerniglia. George J. Cerniglia 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
#WorkIndexed citations
1 55
2 14
3 41
4 35
5 104
6 118
7 11
8 218
9 130
10 33
11 10
12 156
13 7
14 58
15 9
16 30
17 20
18 57
19 12
20
Microtiter plate assay for the measurement of glutathione and glutathione disulfide in large numbers of biological samplesbreakdown →
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About George J. Cerniglia

George J. Cerniglia is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 47 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (11 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (716 citations), Oncology (943 citations) and Molecular Biology (1.9k citations). George J. Cerniglia has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Margaret Baker, Ruth J. Muschel, Amit Maity, Eric J. Bernhard, Anjali Gupta, Rosemarie Mick, Nabendu Pore, W. Gillies McKenna, Vincent J. Bakanauskas and Zibin Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

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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