M. Bogard

24 papers receiving 579 citations

Peers

M. Bogard
Comparison fields: 5 of 77
  • Hepatology 183
  • Biotechnology 99
  • Microbiology 66
  • Nutrition and Dietetics 108
  • Epidemiology 186
Replace Héctor Vivanco-Cid with:
Héctor Vivanco-Cid Mexico
Sherrie Clark‐Deener United States
Christelle Basset France
Mónica Carol Spain
Hiroaki Taniai Japan
Y Zinnaka Japan
Yining He China
R. S. Kamat India
James J. Gilchrist United Kingdom
Sue Yee Lim Japan
M. Bogard relative to Héctor Vivanco-Cid Mexico Héctor Vivanco-Cid's profile →
Citations per field
00.5×9.4×
Héctor Vivanco-Cid · 1×
Citations per year

Countries citing papers authored by M. Bogard

Since Specialization
Citations

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

Fields of papers citing papers by M. Bogard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1952124
2 1999103
3 199873
4 199065
5 198751
6 200148
7 199947
8 198918
9 199812
10 200012
11 198612
12 19999
13 19917
14 19947
15 20085
16
Detection of hepatitis C viral RNA: comparison of Amplicor single PCR and nested set PCR processes with HCV serology for hemodialyzed patients.
19955
17 20082
18 19972
19 20081
20 20071

About M. Bogard

M. Bogard is a scholar working on Epidemiology, Molecular Biology, Hepatology, Infectious Diseases and Rheumatology, having authored 25 papers that have together received 608 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (7 papers), Urinary Tract Infections Management (4 papers), Reproductive tract infections research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Porphyrin Metabolism and Disorders (3 papers), Folate and B Vitamins Research (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Hepatology (183 citations), Biotechnology (99 citations), Microbiology (66 citations), Nutrition and Dietetics (108 citations) and Epidemiology (186 citations). M. Bogard has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Y Nordmann, Gary Bryant, H. J. Koepsell, Richard W. Jackson, H. M. Tsuchiya, Jean Vincelette, Anne–Marie Bourgault, J Drysdale, Roberto Alonso and T Fenner. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Hepatology, Journal of Viral Hepatitis, European Journal of Clinical Microbiology & Infectious Diseases and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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