Pablo Collera

1.1k citations
29 papers · 771 · h-index 11

Impact in

  • Oncology top 5%
    • COVID-19 and healthcare impacts
    • Colorectal Cancer Surgical Treatments
    • COVID-19 Clinical Research Studies

Papers in

Pablo Collera

25 papers receiving 723 citations

Peers

Pablo Collera
Comparison fields: 5 of 74
  • Oncology 516
  • Infectious Diseases 94
  • Drug Discovery 1
  • Geriatrics and Gerontology 11
  • Health Informatics 6
Replace A De Manzoni Garberini with:
A De Manzoni Garberini France
Giovanni Scotton Italy
Dale Vimalchandran France
T Grove United Kingdom
Sunanda Roy Mahapatra France
Mohammed Yassaad Oudrhiri Morocco
R De Vincenti France
Timüçin Erol Türkiye
Dimitrios Zouzoulas Greece
B. Collard United Kingdom
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Citations per field
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A De Manzoni Garberini · 1×
Citations per year

Countries citing papers authored by Pablo Collera

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Collera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Pablo Collera, 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 Pablo Collera Line = papers co-authored together Pablo Collera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021218
2 2020170
3 202098
4 202056
5 202244
6 202135
7 202126
8 201817
9 199914
10 201813
11 202013
12 201811
13 201810
14 20199
15 20209
16 20197
17 20236
18
Retroperitoneal liposarcomas. Study of 10 cases.
19983
19
Aplicación de la ecografía endoanal en el estudio de la incontinencia
19993
20 20213

About Pablo Collera

Pablo Collera is a scholar working on Oncology, Geriatrics and Gerontology, Surgery, Cardiology and Cardiovascular Medicine and Rheumatology, having authored 29 papers that have together received 771 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (11 papers), COVID-19 and healthcare impacts (8 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers), COVID-19 Clinical Research Studies (2 papers), Frailty in Older Adults (2 papers), Case Reports on Hematomas (1 paper), Lysosomal Storage Disorders Research (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (516 citations), Infectious Diseases (94 citations), Drug Discovery (1 citation), Geriatrics and Gerontology (11 citations) and Health Informatics (6 citations). Pablo Collera has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Carlos Hoyuela, Marisa Baré, Antonio Escobar, E Veloso, Maximino Redondo, José María Quintana, Lorena Sanchon, Eduardo Briones, Cristina Sarasqueta and Ladislao Cayetano Paniagua. Their work appears in journals such as British journal of surgery, European Journal of Surgical Oncology, Surgical Endoscopy, Clinical Colorectal Cancer and BMC Cancer.

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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