Hester Wain
- Immunology top 2%
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 5
- interferon and immune responses 2
- Pharmacology top 0.5%
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism 1
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 4
- Biomedical Text Mining and Ontologies 3
- Genomics and Phylogenetic Studies 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Hematology top 5%
- Co-authors
- Lois J. MaltaisMichael LushMatt W. WrightElspeth A. BrufordRuth C. LoveringDaniel W. NebertDarryl C. ZeldinDavid R. Nelson
- Cited by
- ImmunologyPharmacologyBiochemistry
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Hester Wain
21 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Immunology 1.2k
- Pharmacology 472
- Biochemistry 158
- Molecular Biology 1.5k
- Hematology 232
Countries citing papers authored by Hester Wain
This map shows the geographic impact of Hester Wain'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 Hester Wain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hester Wain more than expected).
Fields of papers citing papers by Hester Wain
This network shows the impact of papers produced by Hester Wain. 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 Hester Wain. The network helps show where Hester Wain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hester Wain, 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 | 2005 | 42 | |
| 2 | 2005 | 133 | |
| 3 | Gene map of the extended humanMHCbreakdown → | 2004 | 820 |
| 4 | 2003 | 84 | |
| 5 | 2003 | 118 | |
| 6 | 2003 | 137 | |
| 7 | 2003 | 21 | |
| 8 | 2003 | 5 | |
| 9 | 2003 | 245 | |
| 10 | Comparison of cytochrome P450 (CYP) genes from the mouse and human genomes, including nomenclature recommendations for genes, pseudogenes and alternative-splice variantsbreakdown → | 2003 | 785 |
| 11 | 2003 | 141 | |
| 12 | 2002 | 3 | |
| 13 | 2002 | 310 | |
| 14 | 2002 | 142 | |
| 15 | 2001 | 381 | |
| 16 | 2000 | 148 | |
| 17 | 1999 | 6 | |
| 18 | 1998 | 63 | |
| 19 | 1998 | 8 | |
| 20 | 1997 | 1 |
About Hester Wain
Hester Wain is a scholar working on Immunology, Urology and Biochemistry, having authored 21 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (3 papers), Genomics and Phylogenetic Studies (3 papers), interferon and immune responses (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Immunology (1.2k citations), Pharmacology (472 citations) and Biochemistry (158 citations). Hester Wain has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lois J. Maltais, Michael Lush, Matt W. Wright, Elspeth A. Bruford, Ruth C. Lovering, Daniel W. Nebert, Darryl C. Zeldin, David R. Nelson, Susan M.G. Hoffman and Sue Povey. Their work appears in journals such as Genomics, Nucleic Acids Research, Gene, Human Genomics and BMC Bioinformatics.
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.