G A Hébert

2.4k citations
49 papers · 1.9k indexed · h-index 21

G A Hébert

48 papers receiving 1.5k citations

Peers

G A Hébert
Comparison fields: 5 of 125
  • Endocrinology 551
  • Clinical Biochemistry 316
  • Infectious Diseases 731
  • Microbiology 93
  • Food Science 260
Replace Maryse Gibert with:
Maryse Gibert France
Peter F. Bonventre United States
Siomar de Castro Soares Brazil
Hans‐Jörg Linde Germany
Florian Gunzer Germany
J. P. Arbuthnott United Kingdom
D. Fortini Italy
Kunihiro Shinagawa Japan
Masanobu Nakata Japan
C L Hatheway United States
G A Hébert relative to Maryse Gibert France Maryse Gibert's profile →
Citations per field
00.5×1.5×2.1×
Maryse Gibert · 1×
Citations per year

Countries citing papers authored by G A Hébert

Since Specialization
Citations

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

Fields of papers citing papers by G A Hébert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G A Hébert. 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 G A Hébert. The network helps show where G A Hébert may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202022
2 201918
3 200718
4 20071
5 20066
6 20056
7 20057
8 20056
9 200521
10 200423
11 200358
12 20036
13
Diffuse metastatic involvement of the breast.
19919
14 198821
15
Differentiation of radiation-induced fibrosis from recurrent pulmonary neoplasm by CT.
198722
16 198019
17
Radiology of breast tumors in the male.
19773
18 197446
19 19744
20 1973168

About G A Hébert

G A Hébert is a scholar working on Endocrinology, Complementary and Manual Therapy, Clinical Biochemistry, Infectious Diseases and Food Science, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (7 papers), Salmonella and Campylobacter epidemiology (7 papers), Bacterial biofilms and quorum sensing (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Endocrinology (551 citations), Clinical Biochemistry (316 citations), Infectious Diseases (731 citations), Microbiology (93 citations) and Food Science (260 citations). G A Hébert has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Bertie Pittman, Gary A. Hancock, Robert E. Weaver, Berenice M. Thomason, D J Brenner, P P Harris, William B. Cherry, L. Thacker, Bertha C. Hill and Arnold G. Steigerwalt. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Dental Research, Journal of Enzyme Inhibition and Medicinal Chemistry, Nutrition and Brain Research.

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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