Monica Concha

1.0k citations
12 papers · 715 · h-index 10

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Viral-associated cancers and disorders 8
    • Cancer-related molecular mechanisms research 6

Monica Concha

11 papers receiving 711 citations

Peers

Monica Concha
Comparison fields: 5 of 61
  • Oncology 374
  • Cancer Research 193
  • Pathology and Forensic Medicine 121
  • Epidemiology 162
  • Immunology 87
Replace Liang Wei Wang with:
Liang Wei Wang United States
Marjolein J. G. Hooykaas Netherlands
Deguang Liang China
Surya Pavan Yenamandra Sweden
Horng-Shen Chen United States
Dona N. Ho Hong Kong
Almira S. Punjabi United States
Nicholas Grayson United Kingdom
Tsuey-Ying Hsu Taiwan
Diego Illanes United States
Monica Concha relative to Liang Wei Wang United States Liang Wei Wang's profile →
Citations per field
00.5×10×20×27×
Liang Wei Wang · 1×
Citations per year

Countries citing papers authored by Monica Concha

Since Specialization
Citations

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

Fields of papers citing papers by Monica Concha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2013132
2 2018113
3 201294
4 201681
5 201667
6 201454
7 201152
8 201349
9 201546
10 201624
11 20243
12 20190

About Monica Concha

Monica Concha is a scholar working on Oncology, Cancer Research, Molecular Biology, Epidemiology and Immunology, having authored 12 papers that have together received 715 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (8 papers), Cancer-related molecular mechanisms research (6 papers), Cytomegalovirus and herpesvirus research (3 papers), Immune Cell Function and Interaction (2 papers), RNA modifications and cancer (2 papers), Circular RNAs in diseases (2 papers), RNA and protein synthesis mechanisms (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (374 citations), Cancer Research (193 citations), Pathology and Forensic Medicine (121 citations), Epidemiology (162 citations) and Immunology (87 citations). Monica Concha has collaborated with scholars based in United States. Frequent co-authors include Melody Baddoo, Erik K. Flemington, Zhen Lin, Michael J. Strong, Claire Fewell, Subing Cao, Tina O’Grady, Dale J. Hedges, Xia Wang and Walter N. Moss. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, PLoS Pathogens and npj Microgravity.

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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