Mihail Halachev

1.4k citations
15 papers · 638 · h-index 9

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Retinal Development and Disorders 2
    • Machine Learning in Bioinformatics 1
    • Genetic Associations and Epidemiology 5
    • Genomics and Rare Diseases 5
    • BRCA gene mutations in cancer 2

Mihail Halachev

12 papers receiving 624 citations

Peers

Mihail Halachev
Comparison fields: 5 of 99
  • Molecular Medicine 79
  • Endocrinology 59
  • Clinical Biochemistry 62
  • Molecular Biology 386
  • Ecology 137
Replace Raf Winand with:
Raf Winand Belgium
Bethany Stackhouse United States
Elizabeth H. Sims United States
An Van den Bossche Belgium
Clément Vulin Switzerland
Boris Fedorov United States
Matthias Preuße Germany
Michael Schmid Switzerland
Khai Luong United States
Rita Zilhão Portugal
Mihail Halachev relative to Raf Winand Belgium Raf Winand's profile →
Citations per field
00.5×
Raf Winand · 1×
Citations per year

Countries citing papers authored by Mihail Halachev

Since Specialization
Citations

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

Fields of papers citing papers by Mihail Halachev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012288
2 2012160
3 201454
4 201953
5 201720
6 201916
7 201914
8 201113
9 201111
10 20234
11 20243
12 20242
13 20250
14 20250
15 20050

About Mihail Halachev

Mihail Halachev is a scholar working on Molecular Biology, Genetics, Ecology, Molecular Medicine and Small Animals, having authored 15 papers that have together received 638 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (5 papers), BRCA gene mutations in cancer (2 papers), Antibiotic Resistance in Bacteria (2 papers), Retinal Development and Disorders (2 papers), Machine Learning in Bioinformatics (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Molecular Medicine (79 citations), Endocrinology (59 citations), Clinical Biochemistry (62 citations), Molecular Biology (386 citations) and Ecology (137 citations). Mihail Halachev has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mark J. Pallen, Jacqueline Chan, Chrystala Constantinidou, Nicholas J. Loman, Charles W. Penn, Martin J. Sergeant, Esther Robinson, Nicola Cumley, Beryl Oppenheim and Shona M. Kerr. Their work appears in journals such as Nature Communications, Human Mutation, Scientific Reports, Pediatric Pulmonology and The American Journal of Human Genetics.

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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