Janet Hegland
- Hematology top 1%
- Immunology top 5%
- Public Health, Environmental and Occupational Health top 10%
- Transplantation top 2%
- Surgery
- Co-authors
- Craig KollmanStella M. DaviesCraig HoweClaudio AnasettiNancy A. KernanVoravit RatanatharathornDennis L. ConferRoberta King
- Topics
- Hematopoietic Stem Cell Transplantation (16 papers)T-cell and B-cell Immunology (11 papers)Immune Cell Function and Interaction (7 papers)
- Cited by
- HematologyTransplantationImmunology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Janet Hegland
22 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Hematology 693
- Immunology 457
- Public Health, Environmental and Occupational Health 183
- Transplantation 164
- Surgery 106
Countries citing papers authored by Janet Hegland
This map shows the geographic impact of Janet Hegland'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 Janet Hegland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet Hegland more than expected).
Fields of papers citing papers by Janet Hegland
This network shows the impact of papers produced by Janet Hegland. 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 Janet Hegland. The network helps show where Janet Hegland may publish in the future.
Co-authorship network of co-authors of Janet Hegland
This figure shows the co-authorship network connecting the top 25 collaborators of Janet Hegland. A scholar is included among the top collaborators of Janet Hegland 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 Janet Hegland. Janet Hegland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 34 | |
| 3 | 28 | |
| 4 | 32 | |
| 5 | 36 | |
| 6 | Donor characteristics as risk factors in recipients after transplantation of bone marrow from unrelated donors: the effect of donor agebreakdown → | 522 |
| 7 | 12 | |
| 8 | Maintaining updated DNA-based HLA assignments in the National Marrow Donor Program Bone Marrow Registry. | 27 |
| 9 | 44 | |
| 10 | 46 | |
| 11 | 32 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 18 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 40 | |
| 20 | 59 |
About Janet Hegland
Janet Hegland is a scholar working on Hematology, Transplantation and Immunology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (16 papers), T-cell and B-cell Immunology (11 papers) and Immune Cell Function and Interaction (7 papers). The work is most often cited by research in Hematology (693 citations), Transplantation (164 citations) and Immunology (457 citations). Janet Hegland has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Craig Kollman, Stella M. Davies, Craig Howe, Claudio Anasetti, Nancy A. Kernan, Voravit Ratanatharathorn, Dennis L. Confer, Roberta King, Naynesh Kamani and Joseph H. Antin. Their work appears in journals such as Blood, Atherosclerosis and Bone Marrow Transplantation.
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.