Angela G. Fleischman

2.4k citations
59 papers · 1.4k indexed · 1 hit paper · h-index 16
Topics
Myeloproliferative Neoplasms: Diagnosis and Treatment (36 papers)Acute Myeloid Leukemia Research (19 papers)Chronic Myeloid Leukemia Treatments (19 papers)

In The Last Decade

Angela G. Fleischman

55 papers receiving 1.4k citations

Hit Papers

OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia ...20132026201720212013100200300

Peers

Angela G. Fleischman
Comparison fields: 5 of 75
  • Genetics 836
  • Hematology 782
  • Molecular Biology 588
  • Rheumatology 320
  • Immunology 245
Replace Christina Boulton with:
Christina Boulton United States
Ya‐Zhen Qin China
Isabelle Tigaud France
Priya Koppikar United States
Niove E. Jordanides United Kingdom
Anna Jankowska United States
Odile Maarek France
Enrico Montefusco Italy
Brenton G. Mar United States
Stefania Paolini Italy
Angela G. Fleischman relative to Christina Boulton United States Christina Boulton's profile →
Citations per field
00.5×3.3×
Christina Boulton · 1×
Citations per year

Countries citing papers authored by Angela G. Fleischman

Since Specialization
Citations

This map shows the geographic impact of Angela G. Fleischman'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 Angela G. Fleischman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela G. Fleischman more than expected).

Fields of papers citing papers by Angela G. Fleischman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela G. Fleischman. 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 Angela G. Fleischman. The network helps show where Angela G. Fleischman may publish in the future.

Co-authorship network of co-authors of Angela G. Fleischman

This figure shows the co-authorship network connecting the top 25 collaborators of Angela G. Fleischman. A scholar is included among the top collaborators of Angela G. Fleischman 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 Angela G. Fleischman. Angela G. Fleischman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 4
5 10
6 1
7 1
8 3
9 2
10 4
11 70
12 20
13 36
14 42
15 4
16 11
17 3
18 40
19 4
20
OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia and Atypical CMLbreakdown →
356

About Angela G. Fleischman

Angela G. Fleischman is a scholar working on Genetics, Hematology and Rheumatology, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (36 papers), Acute Myeloid Leukemia Research (19 papers) and Chronic Myeloid Leukemia Treatments (19 papers). The work is most often cited by research in Genetics (836 citations), Hematology (782 citations) and Rheumatology (320 citations). Angela G. Fleischman has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Anupriya Agarwal, Brian Druker, Marc Loriaux, Michael W. Deininger, Gajalakshmi Ramanathan, Julia E. Maxson, Jeffrey Tyner, Samuel B. Luty, Stephen T. Oh and Jason Gotlib. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

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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