Helen Braley‐Mullen
- Immunology top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Oncology top 10%
- Co-authors
- Gordon C. SharpShiguang YuMichael KyriakosHaïwen TangYongzhong WeiYujiang FangKarin E. PetersonJason S. Ellis
- Topics
- T-cell and B-cell Immunology (64 papers)Thyroid Disorders and Treatments (36 papers)Monoclonal and Polyclonal Antibodies Research (26 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Helen Braley‐Mullen
127 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 99
- Immunology 1.8k
- Molecular Biology 702
- Endocrinology, Diabetes and Metabolism 666
- Genetics 563
- Oncology 400
Countries citing papers authored by Helen Braley‐Mullen
This map shows the geographic impact of Helen Braley‐Mullen'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 Helen Braley‐Mullen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Braley‐Mullen more than expected).
Fields of papers citing papers by Helen Braley‐Mullen
This network shows the impact of papers produced by Helen Braley‐Mullen. 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 Helen Braley‐Mullen. The network helps show where Helen Braley‐Mullen may publish in the future.
Co-authorship network of co-authors of Helen Braley‐Mullen
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Braley‐Mullen. A scholar is included among the top collaborators of Helen Braley‐Mullen 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 Helen Braley‐Mullen. Helen Braley‐Mullen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 41 | |
| 3 | 20 | |
| 4 | 236 | |
| 5 | 26 | |
| 6 | 13 | |
| 7 | 35 | |
| 8 | 27 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 51 | |
| 12 | 9 | |
| 13 | 24 | |
| 14 | 23 | |
| 15 | 5 | |
| 16 | 62 | |
| 17 | 17 | |
| 18 | 24 | |
| 19 | 16 | |
| 20 | Antigen requirements for priming of IgG producing B memory cells specific for Type III pneumococcal polysaccharide. | 29 |
About Helen Braley‐Mullen
Helen Braley‐Mullen is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging, having authored 127 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (64 papers), Thyroid Disorders and Treatments (36 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). The work is most often cited by research in Immunology (1.8k citations), Endocrinology, Diabetes and Metabolism (666 citations) and Geriatrics and Gerontology (134 citations). Helen Braley‐Mullen has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Gordon C. Sharp, Shiguang Yu, Michael Kyriakos, Haïwen Tang, Yongzhong Wei, Yujiang Fang, Karin E. Peterson, Jason S. Ellis, Kemin Chen and Kemin Chen. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.