Jae E. Werndli
Impact in
-
- Lymphoma Diagnosis and Treatment
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
-
- Lymphoma Diagnosis and Treatment 9
- Genetic factors in colorectal cancer 1
-
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Brad S. Kahl (12 shared papers)Natalie S. Callander (7 shared papers)KyungMann Kim (8 shared papers)Walter Longo (9 shared papers)Thomas McFarland (7 shared papers)Jules H. Blank (8 shared papers)Jens Eickhoff (5 shared papers)Stephanie Subasic Markovina (3 shared papers)
- Journals
- Blood (5 papers)British Journal of Haematology (2 papers)Annals of Oncology (1 paper)Hematological Oncology (1 paper)Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Jae E. Werndli
15 papers receiving 435 citations
Peers
Comparison fields: 5 of 35
- Pathology and Forensic Medicine 216
- Hematology 117
- Genetics 21
- Cancer Research 17
- Molecular Biology 54
Countries citing papers authored by Jae E. Werndli
This map shows the geographic impact of Jae E. Werndli'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 Jae E. Werndli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae E. Werndli more than expected).
Fields of papers citing papers by Jae E. Werndli
This network shows the impact of papers produced by Jae E. Werndli. 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 Jae E. Werndli. The network helps show where Jae E. Werndli may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae E. Werndli, 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 | 2008 | 128 | |
| 2 | 2006 | 90 | |
| 3 | 2011 | 45 | |
| 4 | 2011 | 33 | |
| 5 | 2008 | 32 | |
| 6 | 2009 | 17 | |
| 7 | 2008 | 16 | |
| 8 | 2005 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 2005 | 13 | |
| 11 | 2007 | 13 | |
| 12 | 2016 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2016 | 2 | |
| 15 | 2012 | 1 |
About Jae E. Werndli
Jae E. Werndli is a scholar working on Pathology and Forensic Medicine, Hematology, Genetics, Genetics and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 443 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Retinoids in leukemia and cellular processes (1 paper), Genetic Associations and Epidemiology (1 paper), Prostate Cancer Treatment and Research (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (216 citations), Hematology (117 citations), Genetics (21 citations), Cancer Research (17 citations) and Molecular Biology (54 citations). Jae E. Werndli has collaborated with scholars based in United States. Frequent co-authors include Brad S. Kahl, Natalie S. Callander, KyungMann Kim, Walter Longo, Thomas McFarland, Jules H. Blank, Jens Eickhoff, Stephanie Subasic Markovina, Shigeki Miyamoto and Howard Harry Bailey. Their work appears in journals such as Blood, British Journal of Haematology, Annals of Oncology, Hematological Oncology and Cancer 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.