Mary Bodis

741 total citations
9 papers, 536 citations indexed

About

Mary Bodis is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Mary Bodis has authored 9 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 5 papers in Molecular Biology and 2 papers in Biotechnology. Recurrent topics in Mary Bodis's work include Plant Gene Expression Analysis (5 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Resistance (2 papers). Mary Bodis is often cited by papers focused on Plant Gene Expression Analysis (5 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Resistance (2 papers). Mary Bodis collaborates with scholars based in United States, Chile and Canada. Mary Bodis's co-authors include Walter S. De Jong, Darlene M. De Jong, Shu-Ping Cheng, Helen Griffiths, Nancy T. Eannetta, Tae Sung Kim, Martin Wiedmann, C. A. Batt, Julio Kalazich and H. De Jong and has published in prestigious journals such as Journal of Clinical Microbiology, Theoretical and Applied Genetics and PubMed.

In The Last Decade

Mary Bodis

9 papers receiving 516 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Bodis United States 8 292 265 200 107 98 9 536
Marina A. Pombo Argentina 14 272 0.9× 652 2.5× 62 0.3× 56 0.5× 92 0.9× 21 790
Rui Barros Portugal 10 230 0.8× 117 0.4× 149 0.7× 111 1.0× 35 0.4× 19 380
Margarida Baleiras-Couto Portugal 12 269 0.9× 335 1.3× 456 2.3× 21 0.2× 28 0.3× 24 570
Chandra L. Richter United States 6 231 0.8× 236 0.9× 275 1.4× 33 0.3× 30 0.3× 7 399
Sofia Dashko Netherlands 8 335 1.1× 139 0.5× 243 1.2× 50 0.5× 33 0.3× 11 512
Michaela Novodvorska United Kingdom 9 252 0.9× 124 0.5× 190 0.9× 69 0.6× 14 0.1× 10 414
María Angélica Ganga Chile 15 231 0.8× 275 1.0× 448 2.2× 93 0.9× 56 0.6× 38 559
Claude Erny France 10 278 1.0× 313 1.2× 331 1.7× 74 0.7× 19 0.2× 15 550
Isabel Fernandes Portugal 7 189 0.6× 110 0.4× 284 1.4× 78 0.7× 20 0.2× 12 439
Gianfranco Rosini Italy 10 209 0.7× 202 0.8× 289 1.4× 40 0.4× 15 0.2× 19 388

Countries citing papers authored by Mary Bodis

Since Specialization
Citations

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

Fields of papers citing papers by Mary Bodis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Bodis

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

All Works

9 of 9 papers shown
1.
Griffiths, Helen, Darlene M. De Jong, Shu-Ping Cheng, et al.. (2009). The potato developer (D) locus encodes an R2R3 MYB transcription factor that regulates expression of multiple anthocyanin structural genes in tuber skin. Theoretical and Applied Genetics. 120(1). 45–57. 124 indexed citations
2.
Griffiths, Helen, et al.. (2005). The potato P locus codes for flavonoid 3′,5′-hydroxylase. Theoretical and Applied Genetics. 111(1). 184–184. 3 indexed citations
3.
Griffiths, Helen, et al.. (2004). The potato P locus codes for flavonoid 3′,5′-hydroxylase. Theoretical and Applied Genetics. 110(2). 269–275. 93 indexed citations
4.
Jong, Walter S. De, Nancy T. Eannetta, Darlene M. De Jong, & Mary Bodis. (2003). Candidate gene analysis of anthocyanin pigmentation loci in the Solanaceae. Theoretical and Applied Genetics. 108(3). 423–432. 125 indexed citations
5.
Jong, Walter S. De, Darlene M. De Jong, & Mary Bodis. (2003). A fluorogenic 5′ nuclease (TaqMan) assay to assess dosage of a marker tightly linked to red skin color in autotetraploid potato. Theoretical and Applied Genetics. 107(8). 1384–1390. 16 indexed citations
6.
Jong, Walter S. De, Darlene M. De Jong, H. De Jong, Julio Kalazich, & Mary Bodis. (2003). An allele of dihydroflavonol 4-reductase associated with the ability to produce red anthocyanin pigments in potato (Solanum tuberosum L.). Theoretical and Applied Genetics. 107(8). 1375–1383. 51 indexed citations
7.
Geisel, Jürgen, et al.. (1998). Fluorescence-based SSCP analysis with automatic allele detection demonstrated for the factor V Leiden mutation.. PubMed. 44(9). 1986–7. 7 indexed citations
8.
Wiedmann, Martin, et al.. (1996). Ribotype diversity of Listeria monocytogenes strains associated with outbreaks of listeriosis in ruminants. Journal of Clinical Microbiology. 34(5). 1086–1090. 72 indexed citations
9.
Wiedmann, Martin, John Czajka, Nada Bsat, et al.. (1994). Diagnosis and epidemiological association of Listeria monocytogenes strains in two outbreaks of listerial encephalitis in small ruminants. Journal of Clinical Microbiology. 32(4). 991–996. 45 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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