Nancy D. Bone
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 33
- Chronic Lymphocytic Leukemia Research 33
- Hematology 11
- Chronic Myeloid Leukemia Treatments 6
- Multiple Myeloma Research and Treatments 5
- Co-authors
- Neil E. Kay (37 shared papers)Diane F. Jelinek (17 shared papers)Tait D. Shanafelt (19 shared papers)Renee C. Tschumper (14 shared papers)Gordon W. Dewald (12 shared papers)Susan Michelle Geyer (12 shared papers)Yean Kee Lee (10 shared papers)Timothy G. Call (11 shared papers)
- Journals
- Blood (22 papers)British Journal of Haematology (5 papers)Leukemia Research (4 papers)Journal of Nanobiotechnology (1 paper)Translational research (1 paper)
- Partner nations
- United StatesPolandFrance
In The Last Decade
Nancy D. Bone
36 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Genetics 1.1k
- Pathology and Forensic Medicine 701
- Immunology 707
- Hematology 363
- Oncology 297
Countries citing papers authored by Nancy D. Bone
This map shows the geographic impact of Nancy D. Bone'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 Nancy D. Bone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy D. Bone more than expected).
Fields of papers citing papers by Nancy D. Bone
This network shows the impact of papers produced by Nancy D. Bone. 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 Nancy D. Bone. The network helps show where Nancy D. Bone may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy D. Bone, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 238 | |
| 2 | 2004 | 184 | |
| 3 | 2007 | 181 | |
| 4 | 2003 | 180 | |
| 5 | 2001 | 170 | |
| 6 | 2007 | 166 | |
| 7 | 2008 | 129 | |
| 8 | 2001 | 82 | |
| 9 | 2008 | 77 | |
| 10 | 2004 | 71 | |
| 11 | 2007 | 66 | |
| 12 | 2009 | 62 | |
| 13 | 2003 | 60 | |
| 14 | 1997 | 55 | |
| 15 | 2007 | 50 | |
| 16 | 2001 | 46 | |
| 17 | 2004 | 36 | |
| 18 | 1999 | 27 | |
| 19 | 1998 | 25 | |
| 20 | 2004 | 23 |
About Nancy D. Bone
Nancy D. Bone is a scholar working on Genetics, Hematology, Immunology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (33 papers), Lymphoma Diagnosis and Treatment (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Genetics (1.1k citations), Pathology and Forensic Medicine (701 citations), Immunology (707 citations), Hematology (363 citations) and Oncology (297 citations). Nancy D. Bone has collaborated with scholars based in United States, Poland and France. Frequent co-authors include Neil E. Kay, Diane F. Jelinek, Tait D. Shanafelt, Renee C. Tschumper, Gordon W. Dewald, Susan Michelle Geyer, Yean Kee Lee, Timothy G. Call, Ann K. Strege and Clive S. Zent. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, Journal of Nanobiotechnology and Translational research.
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.