E Aghai

1.3k citations
54 papers · 1.1k · h-index 15

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Chronic Lymphocytic Leukemia Research 9
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5

E Aghai

50 papers receiving 1.0k citations

Peers

E Aghai
Comparison fields: 5 of 77
  • Hematology 361
  • Genetics 248
  • Neurology 220
  • Physiology 297
  • Internal Medicine 40
Replace Masahiro Takeuchi with:
Masahiro Takeuchi Japan
Yamei Gao United States
Katsuhiko Matsuo Japan
Christo Christov France
Vera M. Ripoll United Kingdom
A. Ythier France
Maria Rita Cozzi Italy
Jecko Thachil United Kingdom
Eileen Boye United States
Anika Stadtmann Germany
E Aghai relative to Masahiro Takeuchi Japan Masahiro Takeuchi's profile →
Citations per field
00.5×2×4×6×8×
Masahiro Takeuchi · 1×
Citations per year

Countries citing papers authored by E Aghai

Since Specialization
Citations

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

Fields of papers citing papers by E Aghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E Aghai, 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 E Aghai Line = papers co-authored together E Aghai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996348
2 1984137
3 1978122
4 199249
5 198731
6 198627
7
Evidence for the existence of circulating monoclonal B-lymphocytes in multiple myeloma patients.
199027
8 196827
9 198622
10 198722
11 199119
12 197518
13 198817
14
Thymus-derived lymphocyte (T-cell) depletion in Hodgkin's disease.
197316
15
Isolated chloroma of breast preceding acute nonlymphatic leukemia.
199715
16 199015
17 199014
18 198813
19 198913
20 197412

About E Aghai

E Aghai is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Oncology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Chronic Lymphocytic Leukemia Research (9 papers), Multiple Myeloma Research and Treatments (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (5 papers), Viral-associated cancers and disorders (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (361 citations), Genetics (248 citations), Neurology (220 citations), Physiology (297 citations) and Internal Medicine (40 citations). E Aghai has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Paul Froom, Bruno Bembi, Ari Zimran, Nir Giladi, Orit Neudorfer, Deborah Elstein, Aya Abrahamov, Michaela Modan, Tali Siegal and Uri Seligsohn. Their work appears in journals such as Cancer, Acta Haematologica, Thrombosis and Haemostasis, American Journal of Hematology and Transfusion.

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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