Joan D. Beckman
- Molecular Biology
- Genetics top 5%
- Hematology top 5%
- Physiology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Gregory M. VercellottiJohn D. BelcherGyörgy BallaJózsef BallaJulia NguyenClifford J. SteerChunsheng ChenSubbaya Subramanian
- Topics
- Hemoglobinopathies and Related Disorders (12 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers)Heme Oxygenase-1 and Carbon Monoxide (8 papers)
- Cited by
- GeneticsHematologyInternal Medicine
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Joan D. Beckman
30 papers receiving 738 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 337
- Genetics 274
- Hematology 209
- Physiology 107
- Pediatrics, Perinatology and Child Health 101
Countries citing papers authored by Joan D. Beckman
This map shows the geographic impact of Joan D. Beckman'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 D. Beckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan D. Beckman more than expected).
Fields of papers citing papers by Joan D. Beckman
This network shows the impact of papers produced by Joan D. Beckman. 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 D. Beckman. The network helps show where Joan D. Beckman may publish in the future.
Co-authorship network of co-authors of Joan D. Beckman
This figure shows the co-authorship network connecting the top 25 collaborators of Joan D. Beckman. A scholar is included among the top collaborators of Joan D. Beckman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan D. Beckman. Joan D. Beckman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 9 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 52 | |
| 15 | 6 | |
| 16 | 88 | |
| 17 | 69 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 33 |
About Joan D. Beckman
Joan D. Beckman is a scholar working on Genetics, Hematology and Internal Medicine, having authored 31 papers that have together received 754 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). The work is most often cited by research in Genetics (274 citations), Hematology (209 citations) and Internal Medicine (42 citations). Joan D. Beckman has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Gregory M. Vercellotti, John D. Belcher, György Balla, József Balla, Julia Nguyen, Clifford J. Steer, Chunsheng Chen, Subbaya Subramanian, Venugopal Thayanithy and Alisa S. Wolberg. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.