Carlos Placer

562 total citations
33 papers, 317 citations indexed

About

Carlos Placer is a scholar working on Surgery, Oncology and Rheumatology. According to data from OpenAlex, Carlos Placer has authored 33 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 16 papers in Oncology and 10 papers in Rheumatology. Recurrent topics in Carlos Placer's work include Anorectal Disease Treatments and Outcomes (18 papers), Colorectal Cancer Surgical Treatments (16 papers) and Colorectal and Anal Carcinomas (12 papers). Carlos Placer is often cited by papers focused on Anorectal Disease Treatments and Outcomes (18 papers), Colorectal Cancer Surgical Treatments (16 papers) and Colorectal and Anal Carcinomas (12 papers). Carlos Placer collaborates with scholars based in Spain and United States. Carlos Placer's co-authors include José M. Enríquez–Navascués, José Ignacio Emparanza, P.J. Garcı́a Nieto, J.A. Vilán, Aintzane Lizarazu, Cristina Sarasqueta, María D. Giraldez, Meritxell Gironella, Antoni Castells and Marta Herreros‐Villanueva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diseases of the Colon & Rectum.

In The Last Decade

Carlos Placer

30 papers receiving 306 citations

Peers

Carlos Placer
Comparison fields: 5 of 59
  • Surgery 245
  • Oncology 190
  • Rheumatology 91
  • Pulmonary and Respiratory Medicine 27
  • Cardiology and Cardiovascular Medicine 17
Replace Won Pyo Hong with:
Won Pyo Hong South Korea
G.v. Ingersleben United States
Saša Marković Serbia
C A Britton United States
Ji Seon Park South Korea
Wei-Hsin Yuan Taiwan
Wal Baraza United Kingdom
Emanuele Perrone Italy
Yohei Asano Japan
Narin‐Nard Carmel Israel
Won Pyo Hong South Korea View profile →
Citations per field, relative to Carlos Placer
Carlos Placer · 1×
Citations per year, relative to Carlos Placer
Carlos Placer · 1×

Countries citing papers authored by Carlos Placer

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Placer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Placer

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Placer. A scholar is included among the top collaborators of Carlos Placer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos Placer. Carlos Placer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 1
3 0
4 26
5 4
6 1
7 21
8 26
9 8
10 88
11 26
12 4
13 1
14 8
15 0
16 4
17 9
18 3
19 11
20 2

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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