kConFab

22 total papers · 592 total citations
10 papers, 160 citations indexed

About

kConFab is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, kConFab has authored 10 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in kConFab's work include BRCA gene mutations in cancer (8 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers) kConFab is often cited by papers focused on BRCA gene mutations in cancer (8 papers), Genetic factors in colorectal cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers) kConFab collaborates with scholars based in Australia, United States and France kConFab's co-authors include Georgia Chenevix‐Trench, Alison H. Trainer, Paul A. James, Gillian Mitchell, Ella R. Thompson, Ian Campbell, Sarah Sawyer, Melissa C. Southey, Ee Ming Wong and John L. Hopper and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Medical Genetics.

In The Last Decade

kConFab

10 papers receiving 157 citations

Author Peers

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

Author Last Decade Papers Cites
kConFab 111 105 49 47 26 10 160
Mónica Salinas 85 0.8× 87 0.8× 41 0.8× 51 1.1× 37 1.4× 15 162
Davit Babikyan 134 1.2× 147 1.4× 45 0.9× 32 0.7× 15 0.6× 7 229
Judit Sanz 86 0.8× 146 1.4× 41 0.8× 59 1.3× 27 1.0× 11 197
D Stoppa-Lyonnet 129 1.2× 145 1.4× 95 1.9× 47 1.0× 62 2.4× 6 230
Theodore Turnquest 48 0.4× 143 1.4× 54 1.1× 27 0.6× 54 2.1× 7 176
Christine Rappaport 67 0.6× 102 1.0× 37 0.8× 22 0.5× 41 1.6× 15 166
Gemma Montalban 148 1.3× 120 1.1× 45 0.9× 43 0.9× 41 1.6× 11 207
Tracy Graham 48 0.4× 132 1.3× 65 1.3× 48 1.0× 33 1.3× 8 163
Giovanna De Vecchi 99 0.9× 50 0.5× 26 0.5× 24 0.5× 27 1.0× 11 138
Aneliya Velkova 160 1.4× 91 0.9× 30 0.6× 17 0.4× 34 1.3× 13 249

Countries citing papers authored by kConFab

Since Specialization
Citations

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

Fields of papers citing papers by kConFab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of kConFab

This figure shows the co-authorship network connecting the top 25 collaborators of kConFab. A scholar is included among the top collaborators of kConFab 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 kConFab. kConFab 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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2026