Jill D. Haag

3.5k total citations · 1 hit paper
50 papers, 2.5k citations indexed

About

Jill D. Haag is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jill D. Haag has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Genetics and 14 papers in Oncology. Recurrent topics in Jill D. Haag's work include BRCA gene mutations in cancer (9 papers), Genomics and Chromatin Dynamics (8 papers) and Molecular Biology Techniques and Applications (7 papers). Jill D. Haag is often cited by papers focused on BRCA gene mutations in cancer (9 papers), Genomics and Chromatin Dynamics (8 papers) and Molecular Biology Techniques and Applications (7 papers). Jill D. Haag collaborates with scholars based in United States, Switzerland and Brazil. Jill D. Haag's co-authors include Michael N. Gould, Christina Kendziorski, Bart M. G. Smits, Anna I. Rissman, Ning Leng, John A. Dawson, Ron Stewart, James A. Thomson, Victor Ruotti and Michael A. Newton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Jill D. Haag

50 papers receiving 2.5k 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.

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments

2013 938 citations Ning Leng, Anna I. Rissman et al. profile →

Peers

Jill D. Haag

MB

GENET

CR

ONCOL

PS

Enrico Cundari Italy

Yi Pan China

John Braisted United States

Alexey A. Larionov United Kingdom

Guy Cathala France

Cory Brouwer United States

Jing Lü China

Shoji Odani Japan

Paul Waring Australia

Mikko Anttonen Finland

Enrico Cundari Italy

Jill D. Haag

1.6k ×1.1

MB

249 ×0.5

GENET

442 ×1.0

CR

480 ×1.2

ONCOL

337 ×1.1

PS

Citations per year, relative to Jill D. Haag Jill D. Haag (= 1×) peers Enrico Cundari

Countries citing papers authored by Jill D. Haag

Since Specialization

Citations

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

Fields of papers citing papers by Jill D. Haag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jill D. Haag. 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 Jill D. Haag. The network helps show where Jill D. Haag may publish in the future.

Co-authorship network of co-authors of Jill D. Haag

This figure shows the co-authorship network connecting the top 25 collaborators of Jill D. Haag. A scholar is included among the top collaborators of Jill D. Haag 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 Jill D. Haag. Jill D. Haag 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

1.

Baur, Brittany, et al.. (2022). Deciphering the Role of 3D Genome Organization in Breast Cancer Susceptibility. Frontiers in Genetics. 12. 788318–788318. 5 indexed citations

2.

Gould, Michael N., et al.. (2021). Intranasal administration of the chemotherapeutic perillyl alcohol results in selective delivery to the cerebrospinal fluid in rats. Scientific Reports. 11(1). 6351–6351. 12 indexed citations

3.

Garrett‐Mayer, Elizabeth, Anna I. Rissman, Stephen T. Guest, et al.. (2018). Deletion of the murine ortholog of the 8q24 gene desert has anti-cancer effects in transgenic mammary cancer models. BMC Cancer. 18(1). 1233–1233. 7 indexed citations

4.

Zumwalde, Nicholas A., Jill D. Haag, Deepak Sharma, et al.. (2016). Analysis of Immune Cells from Human Mammary Ductal Epithelial Organoids Reveals Vδ2+ T Cells That Efficiently Target Breast Carcinoma Cells in the Presence of Bisphosphonate. Cancer Prevention Research. 9(4). 305–316. 64 indexed citations

5.

Henning, Amanda N., Jill D. Haag, Bart M. G. Smits, & Michael N. Gould. (2016). The Non-coding Mammary Carcinoma Susceptibility Locus, Mcs5c, Regulates Pappa Expression via Age-Specific Chromatin Folding and Allele-Dependent DNA Methylation. PLoS Genetics. 12(8). e1006261–e1006261. 10 indexed citations

6.

Smits, Bart M. G., Jill D. Haag, Anna I. Rissman, et al.. (2013). The Gene Desert Mammary Carcinoma Susceptibility Locus Mcs1a Regulates Nr2f1 Modifying Mammary Epithelial Cell Differentiation and Proliferation. PLoS Genetics. 9(6). e1003549–e1003549. 18 indexed citations

7.

Smits, Bart M. G., et al.. (2011). An insulator loop resides between the synthetically interacting elements of the human/rat conserved breast cancer susceptibility locus MCS5A/Mcs5a. Nucleic Acids Research. 40(1). 132–147. 13 indexed citations

8.

Sharma, Deepak, et al.. (2011). Quantification of Epithelial Cell Differentiation in Mammary Glands and Carcinomas from DMBA- and MNU-Exposed Rats. PLoS ONE. 6(10). e26145–e26145. 21 indexed citations

9.

Smits, Bart M. G., Deepak Sharma, Stephan Woditschka, et al.. (2011). The non-protein coding breast cancer susceptibility locus Mcs5a acts in a non-mammary cell-autonomous fashion through the immune system and modulates T-cell homeostasis and functions. Breast Cancer Research. 13(4). R81–R81. 21 indexed citations

10.

Amos‐Landgraf, James, Lawrence N. Kwong, Christina Kendziorski, et al.. (2007). A target-selected Apc -mutant rat kindred enhances the modeling of familial human colon cancer. Proceedings of the National Academy of Sciences. 104(10). 4036–4041. 109 indexed citations

11.

Ariazi, Jennifer L., Jill D. Haag, Mary J. Lindstrom, & Michael N. Gould. (2005). Mammary glands of sexually immature rats are more susceptible than those of mature rats to the carcinogenic, lethal, and mutagenic effects of N‐nitroso‐N‐methylurea. Molecular Carcinogenesis. 43(3). 155–164. 36 indexed citations

12.

Haag, Jill D., Kai-Shun Chen, L.A. Shepel, et al.. (2003). Production of knockout rats using ENU mutagenesis and a yeast-based screening assay. Nature Biotechnology. 21(6). 645–651. 158 indexed citations

13.

Thompson, Todd A., Jill D. Haag, Mary J. Lindstrom, et al.. (2002). Decreased susceptibility to NMU-induced mammary carcinogenesis in transgenic rats carrying multiple copies of a rat ras gene driven by the rat Harvey ras promoter. Oncogene. 21(18). 2797–2804. 11 indexed citations

14.

Haag, Jill D., L.A. Shepel, Michael A. Newton, et al.. (1999). A comparative analysis of allelic imbalance events in chemically induced rat mammary, colon, and bladder tumors. Molecular Carcinogenesis. 24(1). 47–56. 12 indexed citations

15.

Chen, Kai-Shun, et al.. (1999). Precocious Differentiation of the Virgin Wistar-Kyoto Rat Mammary Gland¹. Endocrinology. 140(6). 2659–2671. 6 indexed citations

16.

Newton, Michael A., Michael N. Gould, Catherine A. Reznikoff, & Jill D. Haag. (1998). On the statistical analysis of allelic-loss data. Statistics in Medicine. 17(13). 1425–1445. 33 indexed citations

17.

Stoesz, S.P., Andreas Friedl, Jill D. Haag, et al.. (1998). Heterogeneous expression of the lipocalin NGAL in primary breast cancers. International Journal of Cancer. 79(6). 565–572. 6 indexed citations

18.

Stoesz, S.P., Andreas Friedl, Jill D. Haag, et al.. (1998). Heterogeneous expression of the lipocalin NGAL in primary breast cancers. International Journal of Cancer. 79(6). 565–572. 138 indexed citations

19.

Haag, Jill D., Michael A. Newton, & Michael N. Gould. (1992). Mammary carcinoma suppressor and susceptibility genes in the Wistar–Kyoto rat. Carcinogenesis. 13(10). 1933–1935. 24 indexed citations

20.

Zhang, Rong, Jill D. Haag, & Michael N. Gould. (1990). Site of expression and biological function of the rat mammary carcinoma suppressor gene. Carcinogenesis. 11(10). 1765–1770. 22 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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