M Gacs

529 citations
14 papers · 423 · h-index 9

Impact in

Papers in

M Gacs

14 papers receiving 391 citations

Peers

M Gacs
Comparison fields: 5 of 48
  • Molecular Medicine 135
  • Agronomy and Crop Science 219
  • Applied Microbiology and Biotechnology 28
  • Endocrinology 65
  • Small Animals 76
Replace Styliani Sarrou with:
Styliani Sarrou Greece
Jatesada Jiwakanon Sweden
Emmanuel Okello United States
Marvin A. Villanueva Philippines
Masoud Haghkhah Iran
E. de Jong Belgium
Qingping Luo China
Mette Ely Fertner Denmark
Daniel Nenene Qekwana South Africa
Tara N. Gaire United States
M Gacs relative to Styliani Sarrou Greece Styliani Sarrou's profile →
Citations per field
00.5×3.3×
Styliani Sarrou · 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 1995115
2 1999111
3 200850
4 200446
5 200626
6 200716
7 200515
8 200511
9 200810
10 19958
11
Resistance to beta-lactam antibiotics and beta-lactamase production of Bacteroides, Porphyromonas and Prevotella strains.
19957
12
Diagnostic value of certain mastitis markers in following up the clinical and bacteriological changes in pharmacotherapeutic studies.
19976
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 Epidemiology, having authored 14 papers that have together received 423 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial biofilms and quorum sensing (4 papers), Antibiotic Resistance in Bacteria (4 papers), Reproductive Physiology in Livestock (2 papers), Microbial Metabolism and Applications (2 papers), Vibrio bacteria research studies (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (135 citations), Agronomy and Crop Science (219 citations), Applied Microbiology and Biotechnology (28 citations), Endocrinology (65 citations) and Small Animals (76 citations). M Gacs has collaborated with scholars based in Hungary, Netherlands and France. Frequent co-authors include Gy. Huszenicza, J.A.C.M. Lohuis, P. Nagy, M. Füzi, Balázs Libisch, M. Muzslay, Margit Kulcsár, Boglárka Balogh, Géza Szita and G. Huszenicza. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, Theriogenology, Research in Microbiology 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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