E Nacheva

1.5k citations
28 papers · 1.1k · 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 14
    • Genomic variations and chromosomal abnormalities 5
    • Chronic Myeloid Leukemia Treatments 9
    • Acute Myeloid Leukemia Research 4

E Nacheva

27 papers receiving 1.1k citations

Peers

E Nacheva
Comparison fields: 5 of 61
  • Hematology 295
  • Genetics 265
  • Pathology and Forensic Medicine 233
  • Oncology 325
  • Immunology 234
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Citations per field
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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 1988200
2 199791
3 199686
4
Comparative genomic hybridization study of primary neuroblastoma tumors. United Kingdom Children's Cancer Study Group.
199785
5 199585
6 198882
7 199471
8 199067
9
BCL-1/cyclin D1 oncoprotein oscillates and subverts the G1 phase control in B-cell neoplasms carrying the t(11;14) translocation.
199452
10 201342
11 199540
12 201437
13 199636
14 199330
15 200827
16 199527
17 201617
18 200111
19 200310
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 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 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 Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Hematology (295 citations), Genetics (265 citations), Pathology and Forensic Medicine (233 citations), Oncology (325 citations) and Immunology (234 citations). E Nacheva has collaborated with scholars based in United Kingdom, Australia and Denmark. Frequent co-authors include Martin J.S. Dyer, D Jadayel, C. Grace, Jonathan J. Waters, Isabelle Lavenir, Thomas Boehm, Richard Baer, A. Förster, Terence H. Rabbitts and G Stranks. Their work appears in journals such as Blood, British Journal of Haematology, The EMBO Journal, Clinical Microbiology and Infection and Scientific Reports.

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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