Oanh Pham

1.1k citations
19 papers · 794 indexed · 1 hit paper · h-index 13
Topics
Salmonella and Campylobacter epidemiology (5 papers)Viral gastroenteritis research and epidemiology (4 papers)Escherichia coli research studies (4 papers)

In The Last Decade

Oanh Pham

18 papers receiving 791 citations

Hit Papers

NOD1 and NOD2 signalling links ER stress with inflammation20162026201920222016100200300

Peers

Oanh Pham
Comparison fields: 5 of 94
  • Immunology 295
  • Molecular Biology 249
  • Epidemiology 169
  • Infectious Diseases 166
  • Cell Biology 142
Replace A. Marijke Keestra-Gounder with:
A. Marijke Keestra-Gounder United States
Alfredo Chávez‐Arroyo United States
Tobias Kerrinnes Germany
Fatima Boukhallouk Germany
Mifong Tam Canada
Leigh A. Baxt United States
Sung‐Moo Park South Korea
Matthew J. Duncan United States
Jürgen Loeffler Germany
Pongsak Utaisincharoen Thailand
Oanh Pham relative to A. Marijke Keestra-Gounder United States A. Marijke Keestra-Gounder's profile →
Citations per field
00.5×1.5×1.9×
A. Marijke Keestra-Gounder · 1×
Citations per year

Countries citing papers authored by Oanh Pham

Since Specialization
Citations

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

Fields of papers citing papers by Oanh Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oanh Pham

This figure shows the co-authorship network connecting the top 25 collaborators of Oanh Pham. A scholar is included among the top collaborators of Oanh Pham 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 Oanh Pham. Oanh Pham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 29
5 12
6 19
7 13
8 17
9 19
10 6
11 39
12 25
13 27
14 1
15
NOD1 and NOD2 signalling links ER stress with inflammationbreakdown →
398
16 86
17 9
18 73
19 19

About Oanh Pham

Oanh Pham is a scholar working on Endocrinology, Infectious Diseases and Microbiology, having authored 19 papers that have together received 794 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Endocrinology (94 citations), Immunology (295 citations) and Infectious Diseases (166 citations). Oanh Pham has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Stephen J. McSorley, Renée M. Tsolis, Andreas J. Bäumler, Tobias Kerrinnes, Mariana X. Byndloss, A. Marijke Keestra-Gounder, Resmi Ravindran, Maarten F. de Jong, Maria G. Winter and Connor R. Tiffany. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

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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