Bernadette Keitz

929 total citations
17 papers, 776 citations indexed

About

Bernadette Keitz is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Bernadette Keitz has authored 17 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Genetics. Recurrent topics in Bernadette Keitz's work include Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Bernadette Keitz is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Epigenetics and DNA Methylation (2 papers). Bernadette Keitz collaborates with scholars based in United States, Germany and Canada. Bernadette Keitz's co-authors include Kunle Odunsi, Shashikant Lele, Feng Qian, Jonathan Tammela, Marilyn Intengan, Verne M. Chapman, Lloyd J. Old, Deborah Driscoll, Alan D. Hutson and Gregory Miller and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Cancer and Genomics.

In The Last Decade

Bernadette Keitz

17 papers receiving 755 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernadette Keitz United States 12 490 247 202 149 107 17 776
Teresina Amaro Portugal 19 540 1.1× 211 0.9× 249 1.2× 213 1.4× 96 0.9× 42 1.1k
Nada H. Khattar United States 13 455 0.9× 157 0.6× 200 1.0× 130 0.9× 151 1.4× 21 789
Jonathan Tammela United States 13 517 1.1× 255 1.0× 148 0.7× 118 0.8× 32 0.3× 13 775
Lisa Gangi United States 12 671 1.4× 163 0.7× 250 1.2× 242 1.6× 83 0.8× 15 1.1k
James L. Prescott United States 14 359 0.7× 67 0.3× 109 0.5× 66 0.4× 38 0.4× 19 748
Olaf Hellwinkel Germany 17 576 1.2× 111 0.4× 221 1.1× 244 1.6× 44 0.4× 37 1.1k
Tai‐Chung Huang Taiwan 16 376 0.8× 101 0.4× 154 0.8× 173 1.2× 67 0.6× 39 761
Martin N. McCall Australia 10 437 0.9× 139 0.6× 105 0.5× 110 0.7× 33 0.3× 15 713
Zeinab Barekati Switzerland 17 662 1.4× 56 0.2× 239 1.2× 481 3.2× 82 0.8× 23 962
Michele Cummings United Kingdom 18 384 0.8× 198 0.8× 290 1.4× 171 1.1× 42 0.4× 36 933

Countries citing papers authored by Bernadette Keitz

Since Specialization
Citations

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

Fields of papers citing papers by Bernadette Keitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernadette Keitz

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

All Works

17 of 17 papers shown
1.
DiCioccio, Richard A., et al.. (2006). Methylation of death-associated protein kinase in ovarian carcinomas. International Journal of Gynecological Cancer. 16(S1). 195–199. 23 indexed citations
2.
DiCioccio, Richard A., et al.. (2006). Methylation of death-associated protein kinase in ovarian carcinomas. International Journal of Gynecological Cancer. 16. 195–199. 11 indexed citations
3.
Sharma, Sameer, Feng Qian, Bernadette Keitz, et al.. (2005). A-kinase anchoring protein 3 messenger RNA expression correlates with poor prognosis in epithelial ovarian cancer. Gynecologic Oncology. 99(1). 183–188. 29 indexed citations
4.
Singhal, Pankaj, Feng Qian, Bernadette Keitz, et al.. (2005). TPTE “Cancer/Testis” antigen is a candidate target for immunotherapy in epithelial ovarian carcinoma. Journal of Clinical Oncology. 23(16_suppl). 2583–2583. 1 indexed citations
5.
Tammela, Jonathan, Achim A. Jungbluth, Feng Qian, et al.. (2004). SCP-1 cancer/testis antigen is a prognostic indicator and a candidate target for immunotherapy in epithelial ovarian cancer.. PubMed. 4. 10–10. 26 indexed citations
6.
Odunsi, Kunle, Robert M. Wollman, Christine B. Ambrosone, et al.. (2004). Detection of epithelial ovarian cancer using 1H‐NMR‐based metabonomics. International Journal of Cancer. 113(5). 782–788. 263 indexed citations
7.
Qian, Feng, Sacha Gnjatic, Elke Jäger, et al.. (2004). Th1/Th2 CD4+ T cell responses against NY-ESO-1 in HLA-DPB1*0401/0402 patients with epithelial ovarian cancer.. PubMed. 4. 12–12. 25 indexed citations
8.
Odunsi, Kunle, Achim A. Jungbluth, Elisabeth Stockert, et al.. (2003). NY-ESO-1 and LAGE-1 cancer-testis antigens are potential targets for immunotherapy in epithelial ovarian cancer.. PubMed. 63(18). 6076–83. 208 indexed citations
9.
Weber, Thomas K., Jeffrey M. Conroy, Bernadette Keitz, et al.. (1999). Genome-wide allelotyping indicates increased loss of heterozygosity on 9p and 14q in early age of onset colorectal cancer. Cytogenetic and Genome Research. 86(2). 142–147. 28 indexed citations
10.
Weber, Thomas K., Nicholas J. Petrelli, Miguel A. Rodrı́guez-Bigas, et al.. (1997). Genomic DNA-based hMSH2 and hMLH1 mutation screening in 32 Eastern United States hereditary nonpolyposis colorectal cancer pedigrees.. PubMed. 57(17). 3798–803. 64 indexed citations
11.
Lee, Kwanghyuk, Bernadette Keitz, Masanori Taira, & Verne M. Chapman. (1994). Linkage of phosphoribosylpyrophosphate synthetases 1 and 2, Prps1 and Prps2, on the mouse X Chromosome. Mammalian Genome. 5(10). 612–615. 4 indexed citations
12.
Chapman, Verne M., Bernadette Keitz, & David F. Bishop. (1994). Genetic linkage of the erythroid-specific ?-aminolevulinate synthase gene (Alas2) to the distal region of the mouse X Chromosome. Mammalian Genome. 5(11). 741–741. 6 indexed citations
13.
Distèche, Christine M., Eldad Zacksenhaus, David A. Adler, et al.. (1992). Mapping and expression of the ubiquitin-activating enzyme E1 (Ube1) gene in the mouse. Mammalian Genome. 3(3). 156–161. 11 indexed citations
14.
Chapman, Verne M., Bernadette Keitz, Christine M. Distèche, Eduardo C. Lau, & Malcolm L. Snead. (1991). Linkage of amelogenin (Amel) to the distal portion of the mouse X chromosome. Genomics. 10(1). 23–28. 48 indexed citations
15.
Chapman, Verne M., Dennis A. Stephenson, L. J. Mullins, et al.. (1991). Linkage of the erythroid transcription factor gene (Gf-1) to the proximal region of the X chromosome of mice. Genomics. 9(2). 309–313. 10 indexed citations
16.
Grant, Stephen G., Marie‐Geneviève Mattéi, Franck Galland, et al.. (1990). Localization of the mouse <i>Mcf-</i><i>2</i> (<i>Db</i><i>l</i>) protooncogene within a conserved linkage group on the mouse X chromosome. Cytogenetic and Genome Research. 54(3-4). 175–181. 7 indexed citations
17.
Chapman, Verne M., Bernadette Keitz, Dennis A. Stephenson, et al.. (1990). Linkage of a gene for neural cell adhesion molecule, L1 (CamL1) to the Rsvp region of the mouse X chromosome. Genomics. 8(1). 113–118. 12 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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