L. Peña

94 papers receiving 3.1k citations

L. Peña's Hit Papers

Classification and Grading of Canine Mammary Tumors 2011 · 504 citations
5040+5+10Years since publication100200300400500

Peers

L. Peña
Comparison fields: 5 of 113
  • Small Animals 1.1k
  • Pulmonary and Respiratory Medicine 2.3k
  • Oncology 1.0k
  • Oral Surgery 225
  • Genetics 619
Replace María Dolores Pérez Alenza with:
María Dolores Pérez Alenza Spain
Felisbina L. Queiroga Portugal
Yuko Goto‐Koshino Japan
Panayiotis Loukopoulos Greece
Yongbaek Kim South Korea
Ana Bravo Spain
Cornelis M. van Drunen Netherlands
Yoichi Moroi Japan
L. Morrison United Kingdom
E O Riecken Germany
L. Peña relative to María Dolores Pérez Alenza Spain María Dolores Pérez Alenza's profile →
Citations per field
00.5×2.5×
María Dolores Pérez Alenza · 1×
Citations per year

Countries citing papers authored by L. Peña

Since Specialization
Citations

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

Fields of papers citing papers by L. Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classification and Grading of Canine Mammary Tumors
Hit paper breakdown →
2011504
2 2012192
3 1998147
4 2000142
5 2000135
6 2013129
7 201799
8 200989
9 200186
10 200384
11 201784
12 199875
13 201473
14 202171
15 200364
16
Cox-2 levels in canine mammary tumors, including inflammatory mammary carcinoma: clinicopathological features and prognostic significance.
200660
17 200557
18 200653
19 201549
20 202238

About L. Peña

L. Peña is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Small Animals and Genetics, having authored 99 papers that have together received 3.2k indexed citations. Recurring topics across this work include Veterinary Oncology Research (60 papers), Infectious Diseases and Mycology (24 papers), Cancer Cells and Metastasis (19 papers), Cancer and Skin Lesions (8 papers), Virus-based gene therapy research (7 papers), Estrogen and related hormone effects (7 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers) and Angiogenesis and VEGF in Cancer (6 papers). The work is most often cited by research in Small Animals (1.1k citations), Pulmonary and Respiratory Medicine (2.3k citations), Oncology (1.0k citations), Oral Surgery (225 citations) and Genetics (619 citations). L. Peña has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include María Dolores Pérez Alenza, Michael H. Goldschmidt, Ana Nieto, Valentina Zappulli, Roberta Rasotto, Juan Carlos Illera, M. Clemente, Pedro Cuesta, Gema Silván and Paloma Jimena de Andrés. Their work appears in journals such as Veterinary Pathology, Research in Veterinary Science, Veterinary and Comparative Oncology, The Journal of Steroid Biochemistry and Molecular Biology and Journal of Comparative Pathology.

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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