Bach‐Nga Pham

1.5k citations
42 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 8
    • Liver Disease Diagnosis and Treatment 4
    • Blood groups and transfusion 8

Bach‐Nga Pham

42 papers receiving 996 citations

Peers

Bach‐Nga Pham
Comparison fields: 5 of 76
  • Hepatology 275
  • Virology 93
  • Epidemiology 396
  • Hematology 123
  • Genetics 90
Replace Rafael Quadri with:
Rafael Quadri Switzerland
M. Guéguen France
Anne Bastie France
Maria Eliana Lai Italy
Michał Abel France
O. Traynor Ireland
Nasser Semmo Switzerland
Emil Miskovsky United States
T. Poralla Germany
Bach‐Nga Pham relative to Rafael Quadri Switzerland Rafael Quadri's profile →
Citations per field
00.5×6.8×
Rafael Quadri · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002170
2 2006161
3 2012114
4 1998111
5 201970
6 200146
7 201533
8 201829
9 201825
10 201424
11 200819
12 201316
13 201515
14 200715
15 201115
16 199415
17 200915
18 200913
19 200612
20 201211

About Bach‐Nga Pham

Bach‐Nga Pham is a scholar working on Epidemiology, Hematology, Rheumatology, Hepatology and Immunology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Blood groups and transfusion (8 papers), Hepatitis C virus research (7 papers), Autoimmune Bullous Skin Diseases (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Systemic Lupus Erythematosus Research (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and Urticaria and Related Conditions (4 papers). The work is most often cited by research in Hepatology (275 citations), Virology (93 citations), Epidemiology (396 citations), Hematology (123 citations) and Genetics (90 citations). Bach‐Nga Pham has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Patrick Marcellin, Corinne Castelnau, Nathalie Boyer, Michelle Martinot-Peignoux, Claude Degott, Thierry Peyrard, Dominique Valla, Marie–Pierre Ripault, P.Y. Le Pennec and Paul Dény. Their work appears in journals such as Frontiers in Immunology, Journal of Hepatology, Transfusion, Hepatology and British Journal of Dermatology.

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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