Gary E. Goodman

24.9k total citations · 2 hit papers
135 papers, 9.2k citations indexed

About

Gary E. Goodman is a scholar working on Molecular Biology, Oncology and Biochemistry. According to data from OpenAlex, Gary E. Goodman has authored 135 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 39 papers in Oncology and 39 papers in Biochemistry. Recurrent topics in Gary E. Goodman's work include Antioxidant Activity and Oxidative Stress (39 papers), Retinoids in leukemia and cellular processes (26 papers) and Nutritional Studies and Diet (16 papers). Gary E. Goodman is often cited by papers focused on Antioxidant Activity and Oxidative Stress (39 papers), Retinoids in leukemia and cellular processes (26 papers) and Nutritional Studies and Diet (16 papers). Gary E. Goodman collaborates with scholars based in United States, South Africa and Canada. Gary E. Goodman's co-authors include Mark Thornquist, Gilbert S. Omenn, Frank L. Meyskens, Mark R. Cullen, John R. Balmes, Barbara Valanis, Scott Barnhart, James P. Keogh, Samuel P. Hammar and Andrew G. Glass and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Gary E. Goodman

135 papers receiving 8.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effects of a Combination of Beta Carotene and Vitamin A on Lung Cancer and Cardiovascular Disease

1996 2.6k citations Gilbert S. Omenn, Gary E. Goodman et al. profile →
Risk Factors for Lung Cancer and for Intervention Effects in CARET, the Beta-Carotene and Retinol Efficacy Trial

1996 894 citations Gilbert S. Omenn, Gary E. Goodman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary E. Goodman United States	43	3.4k	3.0k	1.7k	1.5k	1.4k	135	9.2k
Mark Thornquist United States	42	3.3k 1.0×	2.9k 1.0×	1.5k 0.9×	1.4k 0.9×	1.7k 1.2×	111	10.0k
Samuel P. Hammar United States	38	1.7k 0.5×	2.1k 0.7×	903 0.5×	3.0k 2.0×	1.1k 0.8×	125	8.1k
Francesco Violi Italy	78	2.9k 0.8×	2.1k 0.7×	1.6k 1.0×	1.7k 1.2×	824 0.6×	542	20.8k
Roberd M. Bostick United States	55	1.6k 0.5×	1.1k 0.4×	1.6k 1.0×	750 0.5×	2.5k 1.8×	192	9.6k
Alan Chait United States	82	5.8k 1.7×	3.2k 1.1×	2.7k 1.6×	927 0.6×	998 0.7×	272	24.8k
Gary J. Kelloff United States	65	6.3k 1.8×	1.3k 0.4×	512 0.3×	1.5k 1.0×	629 0.5×	273	14.6k
Wulf Palinski United States	66	5.7k 1.7×	4.9k 1.7×	2.1k 1.2×	724 0.5×	418 0.3×	115	20.9k
William P. Steward United Kingdom	67	7.4k 2.2×	1.7k 0.6×	734 0.4×	2.1k 1.5×	312 0.2×	221	18.3k
Ulrike Peters United States	52	2.1k 0.6×	669 0.2×	1.2k 0.7×	574 0.4×	1.2k 0.9×	198	8.0k
Hisataka Moriwaki Japan	62	5.3k 1.6×	1.3k 0.5×	859 0.5×	1.7k 1.2×	329 0.2×	511	16.6k

Countries citing papers authored by Gary E. Goodman

Since Specialization

Citations

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

Fields of papers citing papers by Gary E. Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary E. Goodman

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

All Works

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20 of 20 papers shown

Vykoukal, Jody V., Johannes F. Fahrmann, Nikul Patel, et al.. (2022). Contributions of Circulating microRNAs for Early Detection of Lung Cancer. Cancers. 14(17). 4221–4221. 21 indexed citations

Yan, Yuanqing, Nan Sun, Hong Wang, et al.. (2019). Whole Genome–Derived Tiled Peptide Arrays Detect Prediagnostic Autoantibody Signatures in Non–Small-Cell Lung Cancer. Cancer Research. 79(7). 1549–1557. 15 indexed citations

Crew, Katherine D., Garnet L. Anderson, Dawn L. Hershman, et al.. (2019). Randomized Double-Blind Placebo-Controlled Biomarker Modulation Study of Vitamin D Supplementation in Premenopausal Women at High Risk for Breast Cancer (SWOG S0812). Cancer Prevention Research. 12(7). 481–490. 16 indexed citations

Ruhaak, L. Renee, Carol Stroble, Jianliang Dai, et al.. (2016). Serum Glycans as Risk Markers for Non–Small Cell Lung Cancer. Cancer Prevention Research. 9(4). 317–323. 21 indexed citations

Liu, Chen-Yu, Isabelle Stücker, Chu Chen, et al.. (2015). Genome-wide Gene–Asbestos Exposure Interaction Association Study Identifies a Common Susceptibility Variant on 22q13.31 Associated with Lung Cancer Risk. Cancer Epidemiology Biomarkers & Prevention. 24(10). 1564–1573. 15 indexed citations

Cheng, Ting‐Yuan David, Amy E. Millen, Jean Wactawski‐Wende, et al.. (2014). Vitamin D Intake Determines Vitamin D Status of Postmenopausal Women, Particularly Those with Limited Sun Exposure. Journal of Nutrition. 144(5). 681–689. 20 indexed citations

Brenner, Darren R., Paul Brennan, Paolo Boffetta, et al.. (2013). Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls. Human Genetics. 132(5). 579–589. 23 indexed citations

Cheng, Ting‐Yuan David, Andrea Z. LaCroix, Shirley A.A. Beresford, et al.. (2013). Vitamin D intake and lung cancer risk in the Women’s Health Initiative. American Journal of Clinical Nutrition. 98(4). 1002–1011. 40 indexed citations

Cheng, Ting‐Yuan David, Irena B. King, Matt J. Barnett, et al.. (2013). Serum Phospholipid Fatty Acids, Genetic Variation in Myeloperoxidase, and Prostate Cancer Risk in Heavy Smokers: A Gene-Nutrient Interaction in the Carotene and Retinol Efficacy Trial. American Journal of Epidemiology. 177(10). 1106–1117. 11 indexed citations

10.

Hazelton, William D., Gary E. Goodman, William N. Rom, et al.. (2012). Longitudinal multistage model for lung cancer incidence, mortality, and CT detected indolent and aggressive cancers. Mathematical Biosciences. 240(1). 20–34. 12 indexed citations

11.

Cheng, Ting‐Yuan David, Matt J. Barnett, Alan R. Kristal, et al.. (2011). Genetic Variation in Myeloperoxidase Modifies the Association of Serum α-Tocopherol with Aggressive Prostate Cancer among Current Smokers,. Journal of Nutrition. 141(9). 1731–1737. 30 indexed citations

12.

Taguchi, Ayumu, Katerina Politi, Sharon J. Pitteri, et al.. (2011). Lung Cancer Signatures in Plasma Based on Proteome Profiling of Mouse Tumor Models. Cancer Cell. 20(3). 289–299. 120 indexed citations

13.

Choi, Ji‐Yeob, Marian L. Neuhouser, Matt J. Barnett, et al.. (2008). Iron intake, oxidative stress-related genes ( MnSOD and MPO ) and prostate cancer risk in CARET cohort. Carcinogenesis. 29(5). 964–970. 92 indexed citations

14.

Neuhouser, Marian L., Matt J. Barnett, Alan R. Kristal, et al.. (2007). (n-6) PUFA Increase and Dairy Foods Decrease Prostate Cancer Risk in Heavy Smokers. Journal of Nutrition. 137(7). 1821–1827. 49 indexed citations

15.

Cartmel, Brenda, J. Dziura, Mark R. Cullen, et al.. (2005). Changes in cholesterol and triglyceride concentrations in the Vanguard population of the Carotene and Retinol Efficacy Trial (CARET). European Journal of Clinical Nutrition. 59(10). 1173–1180. 19 indexed citations

16.

Goodman, Gary E., et al.. (2003). The Association between Lung and Prostate Cancer Risk, and Serum Micronutrients. Cancer Epidemiology and Prevention Biomarkers. 12(6). 518–526. 4 indexed citations

17.

Lamharzi, Najib, Melissa M. Johnson, Gary E. Goodman, et al.. (2003). Polymorphic markers in the 5α‐reductase type II gene and the incidence of prostate cancer. International Journal of Cancer. 105(4). 480–483. 25 indexed citations

18.

Spitz, Margaret R., Matt J. Barnett, Gary E. Goodman, et al.. (2002). Serum insulin-like growth factor (IGF) and IGF-binding protein levels and risk of lung cancer: a case-control study nested in the beta-Carotene and Retinol Efficacy Trial Cohort.. PubMed. 11(11). 1413–8. 63 indexed citations

19.

Spitz, Margaret R., Matt J. Barnett, Gary E. Goodman, et al.. (2002). Serum Insulin-like Growth Factor (IGF) and IGF-binding Protein Levels and Risk of Lung Cancer. Cancer Epidemiology and Prevention Biomarkers. 11(11). 1413–1418. 2 indexed citations

20.

Hellström, Ingegerd, et al.. (2001). Overexpression of HER-2 in ovarian carcinomas.. PubMed. 61(6). 2420–3. 107 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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