Márió Gajdács

12.9k citations
149 papers · 4.9k indexed · 2 hit papers · h-index 39
Topics
Antibiotic Resistance in Bacteria (41 papers)Bacterial Identification and Susceptibility Testing (26 papers)Urinary Tract Infections Management (25 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
HungaryPakistanMalaysia

In The Last Decade

Márió Gajdács

146 papers receiving 4.8k citations

Hit Papers

Antibiotic resistance in microbes: History, mechanisms, t...201920262021202320212019200400600

Peers

Márió Gajdács
Comparison fields: 5 of 169
  • Molecular Biology 1.4k
  • Molecular Medicine 1.3k
  • Epidemiology 1.0k
  • Infectious Diseases 698
  • Applied Microbiology and Biotechnology 603
Replace Pallab Ray with:
Pallab Ray India
Katsunori Yanagihara Japan
Joshua S. Davis Australia
Víctor Lorian United States
Michael Barza United States
Ethan Rubinstein Canada
Elda Righi Italy
Hui Wang China
Burke A. Cunha United States
James S. Lewis United States
Márió Gajdács relative to Pallab Ray India Pallab Ray's profile →
Citations per field
00.5×1.5×2.4×
Pallab Ray · 1×
Citations per year

Countries citing papers authored by Márió Gajdács

Since Specialization
Citations

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

Fields of papers citing papers by Márió Gajdács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Márió Gajdács

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 1
5 11
6 1
7 21
8 5
9 8
10 44
11 22
12 75
13 35
14 24
15 74
16 96
17 43
18 3
19 39
20 45

About Márió Gajdács

Márió Gajdács is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Microbiology, having authored 149 papers that have together received 4.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (41 papers), Bacterial Identification and Susceptibility Testing (26 papers) and Urinary Tract Infections Management (25 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (603 citations), Molecular Medicine (1.3k citations) and Microbiology (78 citations). Márió Gajdács has collaborated with scholars based in Hungary, Pakistan and Malaysia. Frequent co-authors include Edit Urbán, Gabriella Spengler, Payam Behzadi, Katalin Burián, Zoltán Baráth, Andrea Lázár, Marianna Ábrók, Anette Stájer, Muhammad Umar Khayam Sahibzada and Ameer Khusro. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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