E Nacheva

1.5k citations
28 papers · 1.2k · h-index 17

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 13
    • Genomic variations and chromosomal abnormalities 5
    • Chronic Myeloid Leukemia Treatments 9
    • Acute Myeloid Leukemia Research 4

E Nacheva

27 papers receiving 1.2k citations

Peers

E Nacheva
Comparison fields: 5 of 60
  • Hematology 301
  • Genetics 247
  • Pathology and Forensic Medicine 214
  • Oncology 305
  • Immunology 232
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PC Nowell United States
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WM Roberts United States
Barbara K. Hecht United States
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K Weber-Matthiesen Germany
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Amedea Donelli Italy
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Citations per field
00.5×5.8×
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Citations per year

Countries citing papers authored by E Nacheva

Since Specialization
Citations

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

Fields of papers citing papers by E Nacheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988208
2 199792
3 199589
4 199687
5 198885
6
Comparative genomic hybridization study of primary neuroblastoma tumors. United Kingdom Children's Cancer Study Group.
199785
7 199475
8 199069
9 201354
10
BCL-1/cyclin D1 oncoprotein oscillates and subverts the G1 phase control in B-cell neoplasms carrying the t(11;14) translocation.
199454
11 199540
12 201438
13 199636
14 200831
15 199331
16 199528
17 201617
18 200311
19 200111
20 199310

About E Nacheva

E Nacheva is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (13 papers), Chronic Myeloid Leukemia Treatments (9 papers), Lymphoma Diagnosis and Treatment (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Acute Myeloid Leukemia Research (4 papers), Viral-associated cancers and disorders (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Hematology (301 citations), Genetics (247 citations), Pathology and Forensic Medicine (214 citations), Oncology (305 citations) and Immunology (232 citations). E Nacheva has collaborated with scholars based in United Kingdom, South Sudan and Australia. Frequent co-authors include Martin J.S. Dyer, D Jadayel, C. Grace, Terence H. Rabbitts, Isabelle Lavenir, A. Förster, Thomas Boehm, Richard Baer, Jonathan J. Waters and G Stranks. Their work appears in journals such as Blood, British Journal of Haematology, The EMBO Journal, Mammalian Genome and Genes Chromosomes and Cancer.

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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