Lynn Graf
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Pluripotent Stem Cells Research 2
-
- Hematopoietic Stem Cell Transplantation 8
- Co-authors
- Beverly Torok‐Storb (8 shared papers)Mineo Iwata (7 shared papers)Marco Mielcarek (1 shared paper)Beverly Torok‐Storb (7 shared papers)Norihiro Awaya (3 shared papers)Leroy Hood (1 shared paper)Alfred Gierer (1 shared paper)Linheng Li (1 shared paper)
- Journals
- Blood (9 papers)Molecular Immunology (2 papers)Annals of the New York Academy of Sciences (2 papers)The Prostate (1 paper)Journal of Molluscan Studies (1 paper)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Lynn Graf
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Hematology 268
- Immunology 357
- Genetics 101
- Oncology 168
- Molecular Biology 434
Countries citing papers authored by Lynn Graf
This map shows the geographic impact of Lynn Graf'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 Lynn Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynn Graf more than expected).
Fields of papers citing papers by Lynn Graf
This network shows the impact of papers produced by Lynn Graf. 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 Lynn Graf. The network helps show where Lynn Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynn Graf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 242 | |
| 2 | 1998 | 162 | |
| 3 | 2007 | 73 | |
| 4 | 1984 | 67 | |
| 5 | 2002 | 58 | |
| 6 | 1980 | 43 | |
| 7 | 1999 | 42 | |
| 8 | 2001 | 39 | |
| 9 | 2006 | 36 | |
| 10 | 2004 | 36 | |
| 11 | 2002 | 34 | |
| 12 | 1981 | 30 | |
| 13 | 1981 | 28 | |
| 14 | 1995 | 26 | |
| 15 | 1987 | 23 | |
| 16 | 1985 | 18 | |
| 17 | 1985 | 17 | |
| 18 | 2007 | 15 | |
| 19 | 2015 | 13 | |
| 20 | 1982 | 10 |
About Lynn Graf
Lynn Graf is a scholar working on Molecular Biology, Hematology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Mesenchymal stem cell research (3 papers), Pluripotent Stem Cells Research (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (268 citations), Immunology (357 citations), Genetics (101 citations), Oncology (168 citations) and Molecular Biology (434 citations). Lynn Graf has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Beverly Torok‐Storb, Mineo Iwata, Marco Mielcarek, Beverly Torok‐Storb, Norihiro Awaya, Leroy Hood, Alfred Gierer, Linheng Li, Amy B. Banta and Santica M. Marcovina. Their work appears in journals such as Blood, Molecular Immunology, Annals of the New York Academy of Sciences, The Prostate and Journal of Molluscan Studies.
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.