Leonor David

134 papers receiving 5.5k citations

Peers

Leonor David
Comparison fields: 5 of 124
  • Immunology 1.3k
  • Pathology and Forensic Medicine 1.1k
  • Surgery 2.1k
  • Oncology 1.2k
  • Molecular Biology 2.9k
Replace Hayao Nakanishi with:
Hayao Nakanishi Japan
Estrid Høgdall Denmark
Paul A. Edwards United Kingdom
Sharon P. Wilczynski United States
Cheryl A. London United States
Lucjan Wyrwicz Poland
Stefan Duensing Germany
A M Hanby United Kingdom
Hanifa Bouzourène Switzerland
Martijn P. Lolkema Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Leonor David

Since Specialization
Citations

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

Fields of papers citing papers by Leonor David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Microsatellite instability is associated with tumors that characterize the hereditary non-polyposis colorectal carcinoma syndrome.
1993482
2 2010353
3
Intestinal metaplasia of human stomach displays distinct patterns of mucin (MUC1, MUC2, MUC5AC, and MUC6) expression.
1999293
4 2002233
5 1997167
6 1997156
7 2000130
8 2003125
9 2007116
10 1998104
11 1995102
12 200894
13
Simple mucin-type carbohydrate antigens (Tn, sialosyl-Tn and T) in gastric mucosa, carcinomas and metastases.
199291
14 200989
15 200985
16 200184
17 199781
18 200377
19 199469
20 200869

About Leonor David

Leonor David is a scholar working on Surgery, Molecular Biology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 137 papers that have together received 5.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (49 papers), Helicobacter pylori-related gastroenterology studies (48 papers), Digestive system and related health (28 papers), Galectins and Cancer Biology (27 papers), Genetic factors in colorectal cancer (24 papers), Monoclonal and Polyclonal Antibodies Research (21 papers), Gastric Cancer Management and Outcomes (20 papers) and Carbohydrate Chemistry and Synthesis (12 papers). The work is most often cited by research in Immunology (1.3k citations), Pathology and Forensic Medicine (1.1k citations), Surgery (2.1k citations), Oncology (1.2k citations) and Molecular Biology (2.9k citations). Leonor David has collaborated with scholars based in Portugal, France and Denmark. Frequent co-authors include Celso A. Reis, Manuel Sobrinho‐Simões, Raquel Almeida, Henrik Clausen, Fátima Carneiro, Raquel Seruca, Filipe Santos‐Silva, Ulla Mandel, Hugo Osório and Catarina Gomes. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, European Journal of Cancer Prevention, The Journal of Pathology, International Journal of Cancer and Glycobiology.

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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