Lara Nonell

2.1k citations
50 papers · 1.2k · h-index 19

Impact in

Papers in

Lara Nonell

48 papers receiving 1.2k citations

Peers

Lara Nonell
Comparison fields: 5 of 105
  • Cancer Research 191
  • Pathology and Forensic Medicine 214
  • Immunology 231
  • Dermatology 92
  • Oncology 255
Replace Alicia Usategui with:
Alicia Usategui Spain
Georgia Levidou Greece
Kazumi Suzukawa Japan
Mineko Tsuruoka Japan
Nicoletta Bivi United States
Dongyi He China
Youn‐Sang Jung South Korea
Heonsik Choi South Korea
Wen Qiu China
Fumitaka Terabe Japan
Lara Nonell relative to Alicia Usategui Spain Alicia Usategui's profile →
Citations per field
00.5×2.8×
Alicia Usategui · 1×
Citations per year

Countries citing papers authored by Lara Nonell

Since Specialization
Citations

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

Fields of papers citing papers by Lara Nonell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009177
2 201578
3 201374
4 201873
5 201470
6 201968
7 201758
8 201549
9 201240
10 200838
11 202138
12 201134
13 201933
14 202131
15 201729
16 202027
17 202226
18 201326
19 201819
20 201718

About Lara Nonell

Lara Nonell is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), MicroRNA in disease regulation (4 papers), Multiple Sclerosis Research Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Molecular Biology Techniques and Applications (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (191 citations), Pathology and Forensic Medicine (214 citations), Immunology (231 citations), Dermatology (92 citations) and Oncology (255 citations). Lara Nonell has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Eulàlia Puigdecanet, Xavier Montalbán, Jordi Río, Manuel Comabella, Florian Deisenhammer, Isaac Subirana, Cristina López, Eva Julià, Ramón M. Pujol and Roland Martinꝉ. Their work appears in journals such as PLoS ONE, Biomedicines, Blood, Scientific Reports and Journal of Clinical Medicine.

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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