Bach‐Nga Pham

1.4k citations
44 papers · 1.0k · h-index 16

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • Hepatitis B Virus Studies 9
    • Liver Disease Diagnosis and Treatment 5
    • Blood groups and transfusion 9

Bach‐Nga Pham

43 papers receiving 986 citations

Peers

Bach‐Nga Pham
Comparison fields: 5 of 82
  • Hepatology 394
  • Virology 105
  • Epidemiology 461
  • Genetics 127
  • Hematology 133
Replace Richard Garcia‐Kennedy with:
Richard Garcia‐Kennedy United States
Rafael Quadri Switzerland
Anne Bastie France
Gianfranco Santini Italy
A Coutellier France
M. Guéguen France
Nasser Semmo Switzerland
Emil Miskovsky United States
L. S. Fung Canada
L. Kennedy United Kingdom
Bach‐Nga Pham relative to Richard Garcia‐Kennedy United States Richard Garcia‐Kennedy's profile →
Citations per field
00.5×
Richard Garcia‐Kennedy · 1×
Citations per year

Countries citing papers authored by Bach‐Nga Pham

Since Specialization
Citations

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

Fields of papers citing papers by Bach‐Nga Pham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002171
2 2006162
3 2012113
4 1998111
5 201966
6 200146
7 201532
8 201828
9 201424
10 201823
11 200819
12 200715
13 201115
14 201515
15 199415
16 200915
17 201315
18 200913
19 200612
20 199611

About Bach‐Nga Pham

Bach‐Nga Pham is a scholar working on Epidemiology, Hematology, Rheumatology, Hepatology and Genetics, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Blood groups and transfusion (9 papers), Hepatitis C virus research (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Autoimmune Bullous Skin Diseases (5 papers), Urticaria and Related Conditions (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (394 citations), Virology (105 citations), Epidemiology (461 citations), Genetics (127 citations) and Hematology (133 citations). Bach‐Nga Pham has collaborated with scholars based in France, United States and Czechia. Frequent co-authors include Patrick Marcellin, Michelle Martinot-Peignoux, Nathalie Boyer, Corinne Castelnau, Claude Degott, Dominique Valla, Thierry Peyrard, Marie–Pierre Ripault, Elyanne Gault and Emmanuel Gordien. Their work appears in journals such as Frontiers in Immunology, Journal of Hepatology, Transfusion, Hepatology and Annals of Allergy Asthma & Immunology.

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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