Mohammad Hussaini

165 total papers · 1.1k total citations
67 papers, 519 citations indexed

About

Mohammad Hussaini is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Mohammad Hussaini has authored 67 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 29 papers in Genetics and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Mohammad Hussaini's work include Acute Myeloid Leukemia Research (39 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Mohammad Hussaini is often cited by papers focused on Acute Myeloid Leukemia Research (39 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (19 papers) and Chronic Myeloid Leukemia Treatments (15 papers). Mohammad Hussaini collaborates with scholars based in United States, India and Jordan. Mohammad Hussaini's co-authors include Jinming Song, Eric Padron, Rami S. Komrokji, Jeffrey E. Lancet, James S. Lewis, Stephen M. Olson, David A. Sallman, Alan F. List, Kendra Sweet and Lubomir Sokol and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Mohammad Hussaini

60 papers receiving 517 citations

Author Peers

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

Author						Papers	Cites
Mohammad Hussaini	262	169	154	134	88	67	519
Caterina Matteucci	307 1.2×	118 0.7×	218 1.4×	65 0.5×	115 1.3×	49	604
Atsuo Okamura	172 0.7×	115 0.7×	140 0.9×	186 1.4×	140 1.6×	61	573
Pierre Hirsch	292 1.1×	157 0.9×	149 1.0×	142 1.1×	69 0.8×	39	563
Simonetta Kerim	231 0.9×	120 0.7×	144 0.9×	137 1.0×	77 0.9×	34	520
Ken Gatter	130 0.5×	131 0.8×	79 0.5×	158 1.2×	92 1.0×	31	496
Annette M. May	256 1.0×	108 0.6×	195 1.3×	130 1.0×	51 0.6×	35	555
Takuya Komeno	278 1.1×	164 1.0×	144 0.9×	114 0.9×	119 1.4×	49	594
Michiko Okada	351 1.3×	183 1.1×	172 1.1×	74 0.6×	80 0.9×	48	567
Tadahiko Igarashi	142 0.5×	127 0.8×	131 0.9×	295 2.2×	107 1.2×	45	576
Mitsutoshi Kurosawa	241 0.9×	175 1.0×	120 0.8×	209 1.6×	140 1.6×	49	608

Countries citing papers authored by Mohammad Hussaini

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Hussaini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Hussaini. 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 Mohammad Hussaini. The network helps show where Mohammad Hussaini may publish in the future.

Co-authorship network of co-authors of Mohammad Hussaini

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Hussaini. A scholar is included among the top collaborators of Mohammad Hussaini 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 Mohammad Hussaini. Mohammad Hussaini 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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