Jacques Pappo

2.1k citations
36 papers · 1.7k indexed · h-index 22

Jacques Pappo

36 papers receiving 1.6k citations

Peers

Jacques Pappo
Comparison fields: 5 of 95
  • Immunology 1.0k
  • Small Animals 322
  • Pharmaceutical Science 149
  • Endocrinology 111
  • Surgery 872
Replace Sukanya Raghavan with:
Sukanya Raghavan Sweden
P. Falk United States
Anna Bogdanova Russia
Lisa Schopf United States
Dangeruta Kersulyte United States
Paula M. Chilton United States
Sean M. Kelly United States
Michael McWilliams United States
Behnam Kalali Germany
Stefan Moese Germany
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Citations per field
00.5×5.3×
Sukanya Raghavan · 1×
Citations per year

Countries citing papers authored by Jacques Pappo

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Pappo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200815
2 200534
3 200451
4 200186
5 200117
6 200113
7 200013
8 200023
9 199929
10 199762
11 199651
12 199587
13 19956
14
Follicle epithelial M cells are a source of interleukin-1 in Peyer's patches.
199327
15
Monoclonal antibody-directed targeting of fluorescent polystyrene microspheres to Peyer's patch M cells.
199189
16 19901
17 198941
18 19898
19
Phenotype of mononuclear leucocytes resident in rat major salivary and lacrimal glands.
198821
20 198883

About Jacques Pappo

Jacques Pappo is a scholar working on Small Animals, Immunology and Gastroenterology, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (15 papers), Galectins and Cancer Biology (11 papers), Veterinary medicine and infectious diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Immunology (1.0k citations), Small Animals (322 citations) and Pharmaceutical Science (149 citations). Jacques Pappo has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Thomas H. Ermak, Zita Kabók, H J Steger, Robert L. Owen, Karin Schön, Ali A. Akhiani, Nils Lycke, Lennart Franzén, James G. Fox and Alexander Ibraghimov. Their work appears in journals such as Infection and Immunity, The Journal of Immunology, Cell and Tissue Research, Gastroenterology and Advances in experimental medicine and biology.

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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