Jill D. Haag

3.5k citations
50 papers · 2.5k indexed · 1 hit paper · h-index 22
    • Genomics and Chromatin Dynamics 8
    • Molecular Biology Techniques and Applications 7
    • DNA Repair Mechanisms 6
    • Epigenetics and DNA Methylation 6
  • Genetics top 5%
    • BRCA gene mutations in cancer 9
    • Genetic Mapping and Diversity in Plants and Animals 5
  • Oncology top 10%
    • Cancer Cells and Metastasis 6
    • Cancer-related Molecular Pathways 6
  • Biochemistry top 10%

Jill D. Haag

50 papers receiving 2.5k citations

Hit Papers

EBSeq: an empirical Bayes hierarchical model for inferenc...9382013202620172021250500750

Peers

Jill D. Haag
Comparison fields: 5 of 117
  • Cancer Research 458
  • Molecular Biology 1.5k
  • Genetics 553
  • Oncology 406
  • Biochemistry 81
Replace Shoji Odani with:
Shoji Odani Japan
Sho Tabata Japan
Marcela Hermann Austria
Romesh R. Subramanian United States
Jing Lü China
Michael Pack United States
Ernest Martinez United States
Philippe Rouet France
Ana Cuadrado Spain
Toshihiko Utsumi Japan
Jill D. Haag relative to Shoji Odani Japan Shoji Odani's profile →
Citations per field
00.5×3.5×
Shoji Odani · 1×
Citations per year

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

The 25 scholars most cited alongside Jill D. Haag, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jill D. Haag Line = papers co-authored together Jill D. Haag links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 202112
3 20187
4 201664
5 201610
6 201318
7 201113
8 201121
9 201121
10 2007109
11 200536
12 2003158
13 200211
14 199912
15 19996
16 199833
17 19986
18 1998138
19 199224
20 199022

About Jill D. Haag

Jill D. Haag is a scholar working on Genetics, Cancer Research and Oncology, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), Genomics and Chromatin Dynamics (8 papers), Molecular Biology Techniques and Applications (7 papers), DNA Repair Mechanisms (6 papers), Cancer Cells and Metastasis (6 papers), Cancer-related Molecular Pathways (6 papers), Epigenetics and DNA Methylation (6 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). The work is most often cited by research in Cancer Research (458 citations), Molecular Biology (1.5k citations) and Genetics (553 citations). Jill D. Haag has collaborated with scholars based in United States, Switzerland and Brazil. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

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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