Gary Cobbs

900 total citations
39 papers, 699 citations indexed

About

Gary Cobbs is a scholar working on Genetics, Molecular Biology and Insect Science. According to data from OpenAlex, Gary Cobbs has authored 39 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 13 papers in Molecular Biology and 9 papers in Insect Science. Recurrent topics in Gary Cobbs's work include Insect Resistance and Genetics (7 papers), Inflammatory Bowel Disease (6 papers) and Plant and animal studies (5 papers). Gary Cobbs is often cited by papers focused on Insect Resistance and Genetics (7 papers), Inflammatory Bowel Disease (6 papers) and Plant and animal studies (5 papers). Gary Cobbs collaborates with scholars based in United States, Australia and Denmark. Gary Cobbs's co-authors include Perri K. Eason, James H. Thorp, James Edward Alexander, Omar Attum, Satya Prakash, Stephen H. Bryant, Andrew T. Beckenbach, A. P. Roelfs, Helen M. Alexander and Susan Galandiuk and has published in prestigious journals such as Gastroenterology, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Gary Cobbs

39 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Cobbs United States 17 250 212 187 167 96 39 699
Bob Dixon Australia 4 183 0.7× 132 0.6× 268 1.4× 283 1.7× 48 0.5× 5 626
Koen De Gelas Belgium 10 242 1.0× 301 1.4× 79 0.4× 174 1.0× 42 0.4× 11 571
Brooks E. Miner United States 12 272 1.1× 201 0.9× 148 0.8× 110 0.7× 46 0.5× 13 681
Mari Rusanen Finland 10 94 0.4× 113 0.5× 134 0.7× 151 0.9× 81 0.8× 26 376
Ruth Gutjahr‐Gobell United States 13 157 0.6× 225 1.1× 55 0.3× 170 1.0× 46 0.5× 24 755
Meng Xu China 19 394 1.6× 87 0.4× 88 0.5× 344 2.1× 76 0.8× 65 848
Jennifer L. Roach United States 11 452 1.8× 285 1.3× 79 0.4× 250 1.5× 114 1.2× 18 939
Morten Skage Norway 12 239 1.0× 131 0.6× 79 0.4× 83 0.5× 36 0.4× 18 496
Ann‐Marie Waldvogel Germany 10 163 0.7× 199 0.9× 98 0.5× 53 0.3× 44 0.5× 24 445
Camille Pitteloud Switzerland 13 211 0.8× 231 1.1× 359 1.9× 199 1.2× 54 0.6× 21 735

Countries citing papers authored by Gary Cobbs

Since Specialization
Citations

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

Fields of papers citing papers by Gary Cobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Cobbs

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Cobbs. A scholar is included among the top collaborators of Gary Cobbs 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 Cobbs. Gary Cobbs 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
1.
Hughes, David, James Edward Alexander, Gary Cobbs, et al.. (2022). Widespread oxyregulation in tropical corals under hypoxia. Marine Pollution Bulletin. 179. 113722–113722. 19 indexed citations
2.
Cobbs, Gary & James Edward Alexander. (2018). Assessment of oxygen consumption in response to progressive hypoxia. PLoS ONE. 13(12). e0208836–e0208836. 16 indexed citations
3.
Cobbs, Gary. (2012). Stepwise kinetic equilibrium models of quantitative polymerase chain reaction. BMC Bioinformatics. 13(1). 203–203. 8 indexed citations
4.
Cobbs, Gary, et al.. (2010). Muskrat predation on a diverse unionid mussel community: impacts of prey species composition, size and shape. Freshwater Biology. 56(3). 554–564. 22 indexed citations
5.
Mahid, Suhal S., et al.. (2008). SMAD2 and the relationship of colorectal cancer toinflammatory bowel disease. The International Journal of Biological Markers. 23(3). 169–175. 2 indexed citations
6.
Crawford, Nigel P.S., et al.. (2007). CARD15 Genotype-Phenotype Relationships in a Small Inflammatory Bowel Disease Population with Severe Disease Affection Status. Digestive Diseases and Sciences. 52(10). 2716–2724. 10 indexed citations
7.
Corbitt, Cynthia, et al.. (2007). Dietary phytoestrogens and photoperiodic response in a male songbird, the Dark-eyed Junco (Junco hyemalis). General and Comparative Endocrinology. 154(1-3). 16–21. 8 indexed citations
8.
Mahid, Suhal S., Nigel P.S. Crawford, Mark A. Doll, et al.. (2007). Characterization of N-acetyltransferase 1 and 2 polymorphisms and haplotype analysis for inflammatory bowel disease and sporadic colorectal carcinoma. BMC Medical Genetics. 8(1). 28–28. 23 indexed citations
9.
Schultz, David J., et al.. (2006). Bioactivity of Anacardic Acid against Colorado Potato Beetle (Leptinotarsa decemlineata) Larvae. Journal of Agricultural and Food Chemistry. 54(20). 7522–7529. 25 indexed citations
10.
Attum, Omar, et al.. (2006). Response of a desert lizard community to habitat degradation: Do ideas about habitat specialists/generalists hold?. Biological Conservation. 133(1). 52–62. 64 indexed citations
11.
Crawford, Nigel P.S., M. Robert Eichenberger, Robert K. Lewis, et al.. (2005). Evaluation of SLC11A1as an inflammatory bowel disease candidate gene. BMC Medical Genetics. 6(1). 10–10. 9 indexed citations
12.
Eichenberger, M. Robert, et al.. (2002). T-cell receptor γ: A microsatellite marker for colorectal cancer. Annals of Surgical Oncology. 9(1). 88–93. 3 indexed citations
13.
Thorp, James H., et al.. (1998). Responses of Ohio River and Lake Erie dreissenid molluscs to changes in temperature and turbidity. Canadian Journal of Fisheries and Aquatic Sciences. 55(1). 220–229. 2 indexed citations
14.
Cobbs, Gary. (1992). Sex Chromosome Loss Induced by the “Sex-Ratio” Trait in Drosophila pseudoobscura Males. Journal of Heredity. 83(2). 81–84. 2 indexed citations
15.
Cobbs, Gary, et al.. (1991). Male-sex-ratio trait in Drosophila pseudoobscura: frequency of autosomal aneuploid sperm.. Genetics. 127(2). 381–390. 16 indexed citations
16.
Cobbs, Gary. (1987). Modifier Genes of the Sex Ratio Trait in Drosophila pseudoobscura. Genetics. 116(2). 275–283. 8 indexed citations
17.
Cobbs, Gary. (1986). AN INVESTIGATION OF THE GENETICS OF "MALE SEX-RATIO" PHENOTYPE IN DROSOPHILA PSEUDOOBSCURA. Genetics. 113(2). 355–365. 8 indexed citations
18.
Alexander, Helen M., A. P. Roelfs, & Gary Cobbs. (1986). Effects of disease and plant competition on yield in monocultures and mixtures of two wheat cultivars. Plant Pathology. 35(4). 457–465. 26 indexed citations
19.
Chegini, Nasser, Ch.V. Rao, & Gary Cobbs. (1984). A quantitative electron microscope autoradiographic study on 125I-human choriogonadotropin internalization in bovine luteal slices. Experimental Cell Research. 151(2). 483–493. 15 indexed citations
20.
Bryant, Stephen H., Andrew T. Beckenbach, & Gary Cobbs. (1982). “SEX-RATIO” TRAIT, SEX COMPOSITION, AND RELATIVE ABUNDANCE INDROSOPHILA PSEUDOOBSCURA. Evolution. 36(1). 27–34. 19 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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