Davit Babikyan

22 total papers · 580 total citations
7 papers, 229 citations indexed

About

Davit Babikyan is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Davit Babikyan has authored 7 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Davit Babikyan's work include BRCA gene mutations in cancer (4 papers), Genomics and Rare Diseases (3 papers) and Genetic factors in colorectal cancer (2 papers). Davit Babikyan is often cited by papers focused on BRCA gene mutations in cancer (4 papers), Genomics and Rare Diseases (3 papers) and Genetic factors in colorectal cancer (2 papers). Davit Babikyan collaborates with scholars based in United States, Armenia and France. Davit Babikyan's co-authors include Sean V. Tavtigian, Fabienne Lesueur, Maxime Vallée, John L. Hopper, Fergus J. Couch, Amanda Gammon, David E. Goldgar, Irina Petrushina, Anahit Ghochikyan and David H. Cribbs and has published in prestigious journals such as Journal of Clinical Oncology, European Journal of Immunology and Breast Cancer Research.

In The Last Decade

Davit Babikyan

7 papers receiving 228 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Davit Babikyan	147	134	45	43	32	7	229
Jing Zhao	166 1.1×	174 1.3×	55 1.2×	17 0.4×	19 0.6×	7	306
Adriana C. Rodriguez	96 0.7×	138 1.0×	87 1.9×	9 0.2×	15 0.5×	7	323
Nikolina Nakić	62 0.4×	176 1.3×	23 0.5×	12 0.3×	9 0.3×	7	312
Gerben van der Vries	71 0.5×	112 0.8×	32 0.7×	24 0.6×	12 0.4×	7	218
Lotte Bruens	44 0.3×	119 0.9×	35 0.8×	29 0.7×	17 0.5×	9	240
Valérie Boitez	99 0.7×	171 1.3×	52 1.2×	19 0.4×	21 0.7×	8	311
Torben A. Kruse	102 0.7×	144 1.1×	42 0.9×	8 0.2×	12 0.4×	8	212
Louise C. Daugherty	51 0.3×	160 1.2×	23 0.5×	8 0.2×	8 0.3×	5	239
Julie Choi	92 0.6×	104 0.8×	22 0.5×	10 0.2×	27 0.8×	10	241
Harry Yang	19 0.1×	212 1.6×	54 1.2×	14 0.3×	11 0.3×	12	289

Countries citing papers authored by Davit Babikyan

Since Specialization

Citations

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

Fields of papers citing papers by Davit Babikyan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davit Babikyan

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

All Works

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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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