Elizabeth Nacheva

556 citations
16 papers · 410 indexed · h-index 11
Topics
Genomic variations and chromosomal abnormalities (7 papers)Chronic Lymphocytic Leukemia Research (5 papers)Chronic Myeloid Leukemia Treatments (5 papers)

In The Last Decade

Elizabeth Nacheva

15 papers receiving 404 citations

Peers

Elizabeth Nacheva
Comparison fields: 5 of 49
  • Molecular Biology 161
  • Neurology 130
  • Hematology 124
  • Genetics 108
  • Genetics 99
Replace Raffaella Defferrari with:
Raffaella Defferrari Italy
Jeff Jorgensen United States
Lynn Greenhalgh United Kingdom
Marta Byrska-Bishop United States
Yinyan Xu China
Lauren A. Solomon Canada
Szymon Janczar Poland
Janani Sundaresan United States
Vasilios Zachariadis Sweden
Regine Witköwski Germany
Elizabeth Nacheva relative to Raffaella Defferrari Italy Raffaella Defferrari's profile →
Citations per field
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Raffaella Defferrari · 1×
Citations per year

Countries citing papers authored by Elizabeth Nacheva

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Nacheva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Nacheva

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Nacheva. A scholar is included among the top collaborators of Elizabeth Nacheva 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 Elizabeth Nacheva. Elizabeth Nacheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 53
2 23
3 54
4
chronic myeloid leukemia translocation and provide a powerful and independent prognostic indicator in Deletions of the derivative chromosome 9 occur at the time of the Philadelphia
0
5 15
6 16
7 15
8 66
9 48
10 1
11 7
12 32
13 2
14 11
15 2
16 65

About Elizabeth Nacheva

Elizabeth Nacheva is a scholar working on Genetics, Hematology and Genetics, having authored 16 papers that have together received 410 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (7 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (124 citations), Genetics (108 citations) and Neurology (130 citations). Elizabeth Nacheva has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Colin Grace, Susan Gribble, Ian Roberts, Ann Curtis, Nick Bown, Maria Łastowska, Andrew D.J. Pearson, Christos Proukakis, Henry Houlden and Anthony R. Green. Their work appears in journals such as Blood, PLoS ONE and Brain.

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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