Anu Solnik

1k citations
17 papers · 490 · h-index 13

Impact in

  • Genetics top 5%
    • Forensic and Genetic Research
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
  • Archeology top 5%
    • Paleopathology and ancient diseases
    • Forensic Anthropology and Bioarchaeology Studies
    • Ancient and Medieval Archaeology Studies

Papers in

    • Forensic and Genetic Research 16
    • Yersinia bacterium, plague, ectoparasites research 1
    • Genetic diversity and population structure 1
    • Paleopathology and ancient diseases 3

Anu Solnik

17 papers receiving 478 citations

Peers

Anu Solnik
Comparison fields: 5 of 51
  • Genetics 359
  • Archeology 72
  • Paleontology 25
  • Language and Linguistics 20
  • Geography, Planning and Development 8
Replace Eugenia D’Atanasio with:
Eugenia D’Atanasio Italy
Guillermo Bravo Morante Austria
Natalija Čondić United States
Петр Константинович Дашковский Russia
Lidija Milašinović Serbia
Lora Iliev United States
Mario Bodružić United States
Adam Micco United States
Elizabeth Curtis United States
J. Noah Workman United States
Anu Solnik relative to Eugenia D’Atanasio Italy Eugenia D’Atanasio's profile →
Citations per field
00.5×1.5×
Eugenia D’Atanasio · 1×
Citations per year

Countries citing papers authored by Anu Solnik

Since Specialization
Citations

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

Fields of papers citing papers by Anu Solnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201972
2 202161
3 201955
4 201453
5 200843
6 202141
7 202229
8 200828
9 202225
10 202120
11 202219
12 202118
13 202414
14 20245
15 20244
16 20252
17 20251

About Anu Solnik

Anu Solnik is a scholar working on Genetics, Archeology, Microbiology, Epidemiology and Nuclear Energy and Engineering, having authored 17 papers that have together received 490 indexed citations. Recurring topics across this work include Forensic and Genetic Research (16 papers), Paleopathology and ancient diseases (3 papers), Bacterial Infections and Vaccines (1 paper), Yersinia bacterium, plague, ectoparasites research (1 paper), Herpesvirus Infections and Treatments (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Genetics (359 citations), Archeology (72 citations), Paleontology (25 citations), Language and Linguistics (20 citations) and Geography, Planning and Development (8 citations). Anu Solnik has collaborated with scholars based in Estonia, United Kingdom and Belgium. Frequent co-authors include Toomas Kivisild, Mait Metspalu, Ene Metspalu, Christiana L. Scheib, Kristiina Tambets, Siiri Rootsi, Eugenia D’Atanasio, John Robb, Lehti Saag and Craig Cessford. Their work appears in journals such as Molecular Biology and Evolution, Science Advances, Current Biology, Genome biology and BMC Evolutionary Biology.

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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