Robert P. Hasserjian

34.2k citations
285 papers · 16.2k indexed · 6 hit papers · h-index 48
Topics
Acute Myeloid Leukemia Research (130 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (95 papers)Lymphoma Diagnosis and Treatment (68 papers)

In The Last Decade

Robert P. Hasserjian

269 papers receiving 15.9k citations

Hit Papers

The 2016 revision to the Wo...1996202620062016201620152010199620202.0k4.0k6.0k

Peers

Robert P. Hasserjian
Comparison fields: 5 of 139
  • Hematology 9.3k
  • Genetics 6.3k
  • Molecular Biology 4.6k
  • Pathology and Forensic Medicine 2.9k
  • Oncology 2.9k
Replace Attilio Orazi with:
Attilio Orazi United States
Daniel A. Arber United States
James W. Vardiman United States
Susanne Schnittger Germany
Jaroslaw P. Maciejewski United States
Oliver G. Ottmann Germany
Marcos González Spain
Dieter Hoelzer Germany
Wendy N. Erber Australia
Charles Koller United States
Robert P. Hasserjian relative to Attilio Orazi United States Attilio Orazi's profile →
Citations per field
00.5×1.5×
Attilio Orazi · 1×
Citations per year

Countries citing papers authored by Robert P. Hasserjian

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Hasserjian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Hasserjian. 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 Robert P. Hasserjian. The network helps show where Robert P. Hasserjian may publish in the future.

Co-authorship network of co-authors of Robert P. Hasserjian

This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. Hasserjian. A scholar is included among the top collaborators of Robert P. Hasserjian 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 Robert P. Hasserjian. Robert P. Hasserjian 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 2
2 1
3 7
4 0
5 23
6 0
7 0
8 4
9 5
10 11
11 25
12 2
13 22
14 15
15 25
16 2
17 44
18 89
19 100
20 11

About Robert P. Hasserjian

Robert P. Hasserjian is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 285 papers that have together received 16.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (130 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (95 papers) and Lymphoma Diagnosis and Treatment (68 papers). The work is most often cited by research in Hematology (9.3k citations), Genetics (6.3k citations) and Pathology and Forensic Medicine (2.9k citations). Robert P. Hasserjian has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel A. Arber, Attilio Orazi, James W. Vardiman, Michael J. Borowitz, Jürgen Thiele, Mario Cazzola, Clara D. Bloomfield, Michelle M. Le Beau, David P. Steensma and Benjamin L. Ebert. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

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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