Gary G. Meadows

3.2k citations
113 papers · 2.7k · h-index 30

Impact in

Papers in

Gary G. Meadows

112 papers receiving 2.6k citations

Peers

Gary G. Meadows
Comparison fields: 5 of 111
  • Geriatrics and Gerontology 145
  • Immunology 593
  • Pathology and Forensic Medicine 462
  • Biochemistry 187
  • Cancer Research 331
Replace Guadalupe Sabio with:
Guadalupe Sabio Spain
Francesco Facchiano Italy
Wuguo Deng China
Tsung-I Peng Taiwan
Giovanni Solinas Switzerland
Raekil Park South Korea
Zongxian Cao United States
Myeong Ho Jung South Korea
Paul W. Hake United States
Joseph V. Virbasius United States
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Citations per field
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Citations per year

Countries citing papers authored by Gary G. Meadows

Since Specialization
Citations

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

Fields of papers citing papers by Gary G. Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary G. Meadows. 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 Gary G. Meadows. The network helps show where Gary G. Meadows may publish in the future.

Co-authors

The 25 scholars most cited alongside Gary G. Meadows, 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 Gary G. Meadows Line = papers co-authored together Gary G. Meadows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003122
2 1989102
3 2007100
4 200285
5 201080
6 200680
7 200370
8 199159
9 200556
10 200156
11 200256
12 199254
13 201447
14 200443
15 200543
16
Dietary influence of tyrosine and phenylalanine on the response of B16 melanoma to carbidopa-levodopa methyl ester chemotherapy.
198241
17 199340
18
Alcohol and related dietary effects on mouse natural killer-cell activity.
198340
19 200339
20 199238

About Gary G. Meadows

Gary G. Meadows is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Cell Biology, having authored 113 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), Alcohol Consumption and Health Effects (13 papers), Cancer Research and Treatments (8 papers), Cell Adhesion Molecules Research (7 papers), Exercise and Physiological Responses (6 papers), Genomics, phytochemicals, and oxidative stress (6 papers), Cancer-related Molecular Pathways (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Geriatrics and Gerontology (145 citations), Immunology (593 citations), Pathology and Forensic Medicine (462 citations), Biochemistry (187 citations) and Cancer Research (331 citations). Gary G. Meadows has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Sally E. Blank, Yamin Fu, Hui Zhang, Randle M. Gallucci, Richard M. Niles, Xiaokang Ge, Hui Zhang, Brian D. Thrall, Zhaohui Zhu and Jesse Starkey. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Clinical & Experimental Metastasis, International Journal of Oncology, The Journal of Immunology and Cancer Letters.

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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