Francis P. Lach

3.9k citations
28 papers · 2.4k indexed · h-index 19
    • Carcinogens and Genotoxicity Assessment 2
    • DNA Repair Mechanisms 26
    • CRISPR and Genetic Engineering 8
    • Genomics and Chromatin Dynamics 3
    • Mitochondrial Function and Pathology 2
    • Epigenetics and DNA Methylation 2
  • Genetics top 5%
    • BRCA gene mutations in cancer 5
  • Oncology top 5%
    • Chromosomal and Genetic Variations 3

Francis P. Lach

28 papers receiving 2.4k citations

Peers

Francis P. Lach
Comparison fields: 5 of 77
  • Cancer Research 474
  • Molecular Biology 2.1k
  • Genetics 619
  • Oncology 496
  • Cell Biology 228
Replace Barbara C. Godthelp with:
Barbara C. Godthelp Netherlands
Lisa D. McDaniel United States
Catherine T. Yan United States
Régina de Chasseval France
Xiantuo Wu United States
Sylvia E. Schwarz United States
Claudia Andreu‐Vieyra United States
Ludovic Deriano France
Markus J. van Roosmalen Netherlands
Dieter Näf United States
Francis P. Lach relative to Barbara C. Godthelp Netherlands Barbara C. Godthelp's profile →
Citations per field
00.5×6.2×
Barbara C. Godthelp · 1×
Citations per year

Countries citing papers authored by Francis P. Lach

Since Specialization
Citations

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

Fields of papers citing papers by Francis P. Lach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 202214
4 202120
5 202025
6 202050
7 202011
8 201739
9 201728
10 2015111
11 201362
12 2013113
13 201334
14 2012195
15 2011259
16 2010267
17 200918
18
Biallelic mutations in PALB2 cause Fanconi anemia and predispose to childhood cancer
20071
19 2007223
20 2006453

About Francis P. Lach

Francis P. Lach is a scholar working on Molecular Biology, Genetics and Otorhinolaryngology, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (26 papers), CRISPR and Genetic Engineering (8 papers), BRCA gene mutations in cancer (5 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Chromatin Dynamics (3 papers), Mitochondrial Function and Pathology (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (474 citations), Molecular Biology (2.1k citations) and Genetics (619 citations). Francis P. Lach has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Agata Smogorzewska, Arleen D. Auerbach, Yonghwan Kim, Helmut Hanenberg, Rohini Desetty, Kornelia Neveling, Marcel Freund, Melanie Wurm, Erica Sanborn and Molly C. Kottemann. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and Nature 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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