Linda M. Griffith
- Immunology top 5%
- Hematology top 1%
- Pathology and Forensic Medicine top 2%
- Cell Biology top 2%
- Molecular Biology
- Co-authors
- Thomas D. PollardRichard A. NashPaolo A. MuraroJ A SpudichStephen M. DownsRichard ChildsLuigi D. NotarangeloJennifer M. Puck
- Topics
- Hematopoietic Stem Cell Transplantation (18 papers)Multiple Sclerosis Research Studies (10 papers)Immunodeficiency and Autoimmune Disorders (9 papers)
- Cited by
- HematologyImmunologyTransplantation
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Cell Biology
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Linda M. Griffith
41 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Immunology 769
- Hematology 735
- Pathology and Forensic Medicine 554
- Cell Biology 495
- Molecular Biology 467
Countries citing papers authored by Linda M. Griffith
This map shows the geographic impact of Linda M. Griffith'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 Linda M. Griffith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda M. Griffith more than expected).
Fields of papers citing papers by Linda M. Griffith
This network shows the impact of papers produced by Linda M. Griffith. 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 Linda M. Griffith. The network helps show where Linda M. Griffith may publish in the future.
Co-authorship network of co-authors of Linda M. Griffith
This figure shows the co-authorship network connecting the top 25 collaborators of Linda M. Griffith. A scholar is included among the top collaborators of Linda M. Griffith 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 Linda M. Griffith. Linda M. Griffith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 4 | |
| 3 | 35 | |
| 4 | 72 | |
| 5 | 28 | |
| 6 | 6 | |
| 7 | 14 | |
| 8 | 29 | |
| 9 | National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-Versus-Host Disease: III. The 2014 Biomarker Working Group Report | 1 |
| 10 | 87 | |
| 11 | 50 | |
| 12 | 15 | |
| 13 | 32 | |
| 14 | 13 | |
| 15 | 44 | |
| 16 | 2 | |
| 17 | 72 | |
| 18 | 141 | |
| 19 | 24 | |
| 20 | 300 |
About Linda M. Griffith
Linda M. Griffith is a scholar working on Hematology, Pathology and Forensic Medicine and Immunology, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), Multiple Sclerosis Research Studies (10 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). The work is most often cited by research in Hematology (735 citations), Immunology (769 citations) and Transplantation (85 citations). Linda M. Griffith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Thomas D. Pollard, Richard A. Nash, Paolo A. Muraro, J A Spudich, Stephen M. Downs, Richard Childs, Luigi D. Notarangelo, Jennifer M. Puck, Morton J. Cowan and David F. Stroncek. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Cell Biology.
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.