Joan How
Impact in
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 34
- Myeloproliferative Neoplasms: Diagnosis and Treatment 32
- Hematology 20
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 9
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Gabriela Hobbs (28 shared papers)Ann Mullally (5 shared papers)Stephen T. Oh (3 shared papers)Amy Zhou (1 shared paper)Jacqueline S. Garcia (1 shared paper)Suzanne E. Schindler (1 shared paper)Susan A. Fowler (1 shared paper)Maria Q. Baggstrom (1 shared paper)
- Journals
- Blood (9 papers)Blood Advances (3 papers)Journal of the National Comprehensive Cancer Network (2 papers)Hematology (2 papers)Circulation (2 papers)
- Partner nations
- United StatesNetherlands
In The Last Decade
Joan How
39 papers receiving 565 citations
Peers
Comparison fields: 5 of 64
- Genetics 290
- Hematology 183
- Rheumatology 162
- Internal Medicine 16
- Behavioral Neuroscience 15
Countries citing papers authored by Joan How
This map shows the geographic impact of Joan How'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 Joan How with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan How more than expected).
Fields of papers citing papers by Joan How
This network shows the impact of papers produced by Joan How. 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 Joan How. The network helps show where Joan How may publish in the future.
Co-authors
The 25 scholars most cited alongside Joan How, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 57 | |
| 2 | 2016 | 52 | |
| 3 | 2013 | 45 | |
| 4 | 2020 | 45 | |
| 5 | 2017 | 41 | |
| 6 | 2016 | 39 | |
| 7 | 2022 | 37 | |
| 8 | 2008 | 37 | |
| 9 | 2017 | 30 | |
| 10 | 2017 | 25 | |
| 11 | 2020 | 22 | |
| 12 | 2023 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 14 | |
| 15 | Are Nectarines to Blame? A Case Report and Literature Review of Spontaneous Bacterial Peritonitis Due to Listeria monocytogenes. | 2015 | 13 |
| 16 | 2020 | 10 | |
| 17 | 2020 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 4 |
About Joan How
Joan How is a scholar working on Genetics, Hematology, Rheumatology, Molecular Biology and Oncology, having authored 44 papers that have together received 572 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (32 papers), Eosinophilic Disorders and Syndromes (17 papers), Chronic Myeloid Leukemia Treatments (10 papers), Acute Myeloid Leukemia Research (9 papers), Kruppel-like factors research (5 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Pregnancy and preeclampsia studies (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Genetics (290 citations), Hematology (183 citations), Rheumatology (162 citations), Internal Medicine (16 citations) and Behavioral Neuroscience (15 citations). Joan How has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Gabriela Hobbs, Ann Mullally, Stephen T. Oh, Amy Zhou, Jacqueline S. Garcia, Suzanne E. Schindler, Susan A. Fowler, Maria Q. Baggstrom, Andrea Wang‐Gillam and Janelle Mann. Their work appears in journals such as Blood, Blood Advances, Journal of the National Comprehensive Cancer Network, Hematology and Circulation.
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.