Edward N. Libby
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Internal Medicine top 2%
- Venous Thromboembolism Diagnosis and Management
Papers in
- Hematology 46
- Multiple Myeloma Research and Treatments 40
-
- Venous Thromboembolism Diagnosis and Management 13
- Co-authors
- David GarcíaAndrew J. CowanDamian J. GreenAjay K. GopalDavid G. CoffeyMark CrowtherSherilyn A. TuazonLeona Holmberg
- Journals
- Blood (27 papers)Journal of Clinical Oncology (9 papers)British Journal of Haematology (4 papers)The Lancet Oncology (3 papers)Biology of Blood and Marrow Transplantation (3 papers)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Edward N. Libby
84 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Hematology 1.2k
- Internal Medicine 276
- Oncology 1.1k
- Genetics 268
- Pathology and Forensic Medicine 294
Countries citing papers authored by Edward N. Libby
This map shows the geographic impact of Edward N. Libby'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 Edward N. Libby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward N. Libby more than expected).
Fields of papers citing papers by Edward N. Libby
This network shows the impact of papers produced by Edward N. Libby. 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 Edward N. Libby. The network helps show where Edward N. Libby may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward N. Libby, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 52 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 171 | |
| 8 | 2018 | 61 | |
| 9 | 2018 | 192 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 9 | |
| 12 | 2015 | 20 | |
| 13 | 2015 | 11 | |
| 14 | 2014 | 4 | |
| 15 | 2013 | 2 | |
| 16 | 2010 | 29 | |
| 17 | 2010 | 1 | |
| 18 | 2008 | 12 | |
| 19 | 2006 | 7 | |
| 20 | 2004 | 5 |
About Edward N. Libby
Edward N. Libby is a scholar working on Hematology, Internal Medicine, Oncology, Genetics and Pathology and Forensic Medicine, having authored 87 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (40 papers), Lymphoma Diagnosis and Treatment (21 papers), Protein Degradation and Inhibitors (15 papers), Venous Thromboembolism Diagnosis and Management (13 papers), Viral-associated cancers and disorders (12 papers), Cancer Treatment and Pharmacology (11 papers), Chronic Lymphocytic Leukemia Research (8 papers) and CAR-T cell therapy research (8 papers). The work is most often cited by research in Hematology (1.2k citations), Internal Medicine (276 citations), Oncology (1.1k citations), Genetics (268 citations) and Pathology and Forensic Medicine (294 citations). Edward N. Libby has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include David García, Andrew J. Cowan, Damian J. Green, Ajay K. Gopal, David G. Coffey, Mark Crowther, Sherilyn A. Tuazon, Leona Holmberg, Mary Kwok and Sarah Lee. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, The Lancet Oncology and Biology of Blood and 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.