Rita Assi

1.7k citations
49 papers · 824 · h-index 13

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 19
    • Chronic Myeloid Leukemia Treatments 8
    • Autoimmune and Inflammatory Disorders Research 3
    • CAR-T cell therapy research 7

Rita Assi

45 papers receiving 809 citations

Peers

Rita Assi
Comparison fields: 5 of 69
  • Hematology 388
  • Genetics 137
  • Emergency Medicine 117
  • Reproductive Medicine 97
  • Oncology 237
Replace Nicole Straetmans with:
Nicole Straetmans Belgium
Patrizia Lista Italy
Carmen Pedro Spain
Bruno Anglaret France
J. M. Vose United States
A Bernadou France
J. L. Pico France
Vincenzo Pavone Italy
Marcel Hayat France
Paolo Gavarotti Italy
Rita Assi relative to Nicole Straetmans Belgium Nicole Straetmans's profile →
Citations per field
00.5×5.8×
Nicole Straetmans · 1×
Citations per year

Countries citing papers authored by Rita Assi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Assi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Assi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rita Assi Line = papers co-authored together Rita Assi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017139
2 2017116
3 201882
4 201972
5 201762
6 202043
7 202033
8 201631
9 201927
10 201824
11 202023
12 201916
13 201615
14 201811
15 201611
16 201711
17 202110
18 201510
19 20219
20 20237

About Rita Assi

Rita Assi is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 824 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Cancer Genomics and Diagnostics (7 papers), CAR-T cell therapy research (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Hematology (388 citations), Genetics (137 citations), Emergency Medicine (117 citations), Reproductive Medicine (97 citations) and Oncology (237 citations). Rita Assi has collaborated with scholars based in United States, Lebanon and Japan. Frequent co-authors include Hagop M. Kantarjian, Farhad Ravandi, Jörge E. Cortes, Naval Daver, Guillermo Garcia‐Manero, Ali Shamseddine, Tapan M. Kadia, Elias Jabbour, Koichi Takahashi and Courtney D. DiNardo. Their work appears in journals such as Blood, Cancer, Journal of Clinical Oncology, Current Opinion in Hematology and Journal of Clinical Virology.

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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