Eric J. Gapud

1.2k citations
21 papers · 1.0k · h-index 12

Impact in

    • DNA Repair Mechanisms
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways

Papers in

Eric J. Gapud

19 papers receiving 989 citations

Peers

Eric J. Gapud
Comparison fields: 5 of 71
  • Molecular Biology 798
  • Oncology 271
  • Cancer Research 108
  • Immunology 154
  • Cell Biology 102
Replace Kiersten Marie Miles with:
Kiersten Marie Miles United States
Diego Serrano Spain
Ian Hammond-Martel Canada
Sabrina Coen Italy
Liliana Terrin Italy
Shikha Saini United States
Belén Fernández‐García Spain
Lina Happo Australia
Gilles Doumont Belgium
Aaron J. Storey United States
Eric J. Gapud relative to Kiersten Marie Miles United States Kiersten Marie Miles's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eric J. Gapud

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Gapud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008257
2 2009206
3 2008118
4 2011104
5 200475
6 201157
7 201144
8 201336
9 202023
10 201722
11 201115
12 200511
13 20207
14 20206
15 20186
16 20206
17 20195
18 20193
19 20193
20 20210

About Eric J. Gapud

Eric J. Gapud is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Nephrology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vasculitis and related conditions (9 papers), DNA Repair Mechanisms (8 papers), Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (2 papers), Genetic Neurodegenerative Diseases (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), PARP inhibition in cancer therapy (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Molecular Biology (798 citations), Oncology (271 citations), Cancer Research (108 citations), Immunology (154 citations) and Cell Biology (102 citations). Eric J. Gapud has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Barry P. Sleckman, Grace K. Mahowald, Elsa Callén, André Nussenzweig, Nancy Wong, Ferenc Livák, Michael J. Kruhlak, Simone Difilippantonio, Hua Tang Chen and Michel C. Nussenzweig. Their work appears in journals such as The Journal of Immunology, Journal of Nephrology, Nature, Journal of Natural Products and American Journal of Nephrology.

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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