M Gacs

519 citations
14 papers · 431 · h-index 9

Impact in

Papers in

M Gacs

14 papers receiving 402 citations

Peers

M Gacs
Comparison fields: 5 of 47
  • Molecular Medicine 133
  • Agronomy and Crop Science 222
  • Applied Microbiology and Biotechnology 21
  • Small Animals 79
  • Endocrinology 49
Replace Nathalie Jarrige with:
Nathalie Jarrige France
Jatesada Jiwakanon Sweden
Styliani Sarrou Greece
Tina Struve Denmark
Masoud Haghkhah Iran
Eaftekhar Ahmed Rana Bangladesh
Vasco T. M. Gomes Brazil
Daniel Nenene Qekwana South Africa
Emmanuel Okello United States
Edward J. Robb United States
M Gacs relative to Nathalie Jarrige France Nathalie Jarrige's profile →
Citations per field
00.5×4.5×
Nathalie Jarrige · 1×
Citations per year

Countries citing papers authored by M Gacs

Since Specialization
Citations

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

Fields of papers citing papers by M Gacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1995118
2 1999113
3 200852
4 200448
5 200628
6 200719
7 200515
8 200511
9 200810
10
Resistance to beta-lactam antibiotics and beta-lactamase production of Bacteroides, Porphyromonas and Prevotella strains.
19957
11
Diagnostic value of certain mastitis markers in following up the clinical and bacteriological changes in pharmacotherapeutic studies.
19976
12
[Toxic shock syndrome caused by pyogenic bacteria].
20032
13
Survey on methicillin/oxacillin-resistant staphylococci (MORS) in Hungary.
19881
14
[Correlation of slime production and pathogenicity of coagulase-negative staphylococci].
19901

About M Gacs

M Gacs is a scholar working on Clinical Biochemistry, Infectious Diseases, Molecular Biology, Molecular Medicine and Agronomy and Crop Science, having authored 14 papers that have together received 431 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), Bacterial biofilms and quorum sensing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotic Resistance in Bacteria (4 papers), Streptococcal Infections and Treatments (2 papers), Vibrio bacteria research studies (2 papers), Microbial Metabolism and Applications (2 papers) and Reproductive Physiology in Livestock (2 papers). The work is most often cited by research in Molecular Medicine (133 citations), Agronomy and Crop Science (222 citations), Applied Microbiology and Biotechnology (21 citations), Small Animals (79 citations) and Endocrinology (49 citations). M Gacs has collaborated with scholars based in Hungary, Netherlands and United States. Frequent co-authors include P. Nagy, J.A.C.M. Lohuis, Gy. Huszenicza, M. Füzi, Balázs Libisch, M. Muzslay, Boglárka Balogh, Joseph Watine, Margit Kulcsár and Sz. Jánosi. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Research in Microbiology, Theriogenology and Reproduction in Domestic Animals.

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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