Joan Climent

2.3k citations
33 papers · 1.5k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomics and Chromatin Dynamics 4
    • Ubiquitin and proteasome pathways 3
    • Genomic variations and chromosomal abnormalities 6
    • Chronic Lymphocytic Leukemia Research 5

Joan Climent

30 papers receiving 1.5k citations

Peers

Joan Climent
Comparison fields: 5 of 113
  • Cancer Research 284
  • Genetics 123
  • Oncology 291
  • Pathology and Forensic Medicine 189
  • Molecular Biology 742
Replace Maud Kamal with:
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Jorge Martı́n-Pérez Spain
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Citations per field
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Citations per year

Countries citing papers authored by Joan Climent

Since Specialization
Citations

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

Fields of papers citing papers by Joan Climent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008356
2 2014166
3 2011116
4 200977
5 200175
6 200771
7
Splenic marginal zone B-cell lymphomas: two cytogenetic subtypes, one with gain of 3q and the other with loss of 7q.
200169
8 201455
9 201054
10 201552
11 201937
12 200636
13 201135
14
Genomic loss of 18p predicts an adverse clinical outcome in patients with high-risk breast cancer.
200233
15 201232
16 200731
17 200931
18 201530
19 200927
20 202126

About Joan Climent

Joan Climent is a scholar working on Molecular Biology, Genetics, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 33 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Genomics and Chromatin Dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Cancer Research (284 citations), Genetics (123 citations), Oncology (291 citations), Pathology and Forensic Medicine (189 citations) and Molecular Biology (742 citations). Joan Climent has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jian‐Hua Mao, Allan Balmain, Reyno Delrosario, Di Wu, Il-Jin Kim, Hio Chung Kang, Rafael Tabarés‐Seisdedos, José A. Martinez‐Climent, Alfonso Valencia and Aňa Lluch. Their work appears in journals such as Oncogene, Journal of Clinical Oncology, Blood, Pharmaceutics and The Lancet Oncology.

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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