Joan D. Beckman

60 total papers · 1.0k total citations
30 papers, 748 citations indexed

About

Joan D. Beckman is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Joan D. Beckman has authored 30 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 12 papers in Molecular Biology and 10 papers in Hematology. Recurrent topics in Joan D. Beckman's work include Hemoglobinopathies and Related Disorders (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Joan D. Beckman is often cited by papers focused on Hemoglobinopathies and Related Disorders (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers) and Heme Oxygenase-1 and Carbon Monoxide (8 papers). Joan D. Beckman collaborates with scholars based in United States, France and India. Joan D. Beckman's co-authors include Gregory M. Vercellotti, John D. Belcher, György Balla, József Balla, Julia Nguyen, Clifford J. Steer, Chunsheng Chen, Venugopal Thayanithy, Subbaya Subramanian and Alisa S. Wolberg and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Joan D. Beckman

30 papers receiving 732 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Joan D. Beckman	336	271	208	105	100	30	748
Ward D. Noyes	173 0.5×	258 1.0×	342 1.6×	122 1.2×	98 1.0×	33	821
B. Lundh	196 0.6×	224 0.8×	166 0.8×	100 1.0×	109 1.1×	41	643
A Fantoni	208 0.6×	211 0.8×	116 0.6×	129 1.2×	60 0.6×	39	699
Alexander Gural	328 1.0×	110 0.4×	312 1.5×	180 1.7×	46 0.5×	48	871
Virginia C. Canale	143 0.4×	428 1.6×	244 1.2×	61 0.6×	58 0.6×	20	839
Vassiliki Kalotychou	166 0.5×	277 1.0×	214 1.0×	91 0.9×	59 0.6×	29	640
Federica Savi	283 0.8×	248 0.9×	184 0.9×	162 1.5×	22 0.2×	20	739
Orly Zelig	172 0.5×	115 0.4×	297 1.4×	267 2.5×	50 0.5×	35	872
Y. Ravindranath	183 0.5×	83 0.3×	266 1.3×	60 0.6×	104 1.0×	25	625
Michael Löw	175 0.5×	165 0.6×	411 2.0×	148 1.4×	38 0.4×	36	854

Countries citing papers authored by Joan D. Beckman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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