Jeff Haug
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- Developmental Biology and Gene Regulation 2
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- Hematopoietic Stem Cell Transplantation 2
- Acute Myeloid Leukemia Research 1
- Co-authors
- Linheng Li (3 shared papers)Chao Niu (2 shared papers)Stephen E. Harris (1 shared paper)Jian Q. Feng (1 shared paper)Ling Ye (1 shared paper)Xi He (2 shared papers)Haiyang Huang (1 shared paper)Leanne M. Wiedemann (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Seminars in Hematology (1 paper)Current Biology (1 paper)Molecular Cell (1 paper)Nature (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jeff Haug
10 papers receiving 2.9k citations
Jeff Haug's Hit Papers
Peers
Comparison fields: 5 of 95
- Hematology 1.4k
- Genetics 746
- Immunology 700
- Oncology 573
- Molecular Biology 1.2k
Countries citing papers authored by Jeff Haug
This map shows the geographic impact of Jeff Haug'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 Jeff Haug with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Haug more than expected).
Fields of papers citing papers by Jeff Haug
This network shows the impact of papers produced by Jeff Haug. 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 Jeff Haug. The network helps show where Jeff Haug may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Haug, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Identification of the haematopoietic stem cell niche and control of the niche size Hit paper breakdown → | 2003 | 2259 |
| 2 | 2002 | 293 | |
| 3 | 2009 | 140 | |
| 4 | 2011 | 75 | |
| 5 | 1997 | 61 | |
| 6 | 2015 | 59 | |
| 7 | 2020 | 25 | |
| 8 | 2000 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2010 | 1 |
About Jeff Haug
Jeff Haug is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Plant Science, having authored 10 papers that have together received 2.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Developmental Biology and Gene Regulation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Acute Myeloid Leukemia Research (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Hematology (1.4k citations), Genetics (746 citations), Immunology (700 citations), Oncology (573 citations) and Molecular Biology (1.2k citations). Jeff Haug has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Linheng Li, Chao Niu, Stephen E. Harris, Jian Q. Feng, Ling Ye, Xi He, Haiyang Huang, Leanne M. Wiedemann, Teri Johnson and Yuji Mishina. Their work appears in journals such as Journal of Clinical Oncology, Seminars in Hematology, Current Biology, Molecular Cell and Nature.
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.