Carmen Mak

2.2k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 7
Topics
HIV/AIDS drug development and treatment (4 papers)Hepatitis C virus research (3 papers)HIV Research and Treatment (2 papers)

In The Last Decade

Carmen Mak

11 papers receiving 1.2k citations

Hit Papers

Adherence to combination therapy enhances sustained respo...20022026201020182002250500750

Peers

Carmen Mak
Comparison fields: 5 of 70
  • Hepatology 894
  • Epidemiology 752
  • Infectious Diseases 219
  • Oncology 198
  • Molecular Biology 196
Replace Manuel García–Bengoechea with:
Manuel García–Bengoechea Spain
John Boitnott United States
Andrew J. Muir United States
Lisa M. Nyberg United States
Isabelle Rosa France
Peggy Hwang United States
Axel Baumgarten Germany
Arnolfo Petruzziello Italy
Nathalie Adda United States
Nancy Leung Hong Kong
Carmen Mak relative to Manuel García–Bengoechea Spain Manuel García–Bengoechea's profile →
Citations per field
00.5×4.8×
Manuel García–Bengoechea · 1×
Citations per year

Countries citing papers authored by Carmen Mak

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Mak

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 7
3 212
4 5
5 142
6 33
7 9
8 4
9 37
10
Adherence to combination therapy enhances sustained response in genotype-1–infected patients with chronic hepatitis Cbreakdown →
775
11 1

About Carmen Mak

Carmen Mak is a scholar working on Hepatology, Virology and Statistics and Probability, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Hepatitis C virus research (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (894 citations), Epidemiology (752 citations) and Virology (74 citations). Carmen Mak has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael P. Manns, Janice K. Albrecht, John G. McHutchison, Thierry Poynard, Keyur Patel, Jean–Jacques Garaud, Jules L. Dienstag, William M. Lee, Christian Trépo and Karen L. Lindsay. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and The Lancet Oncology.

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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