Márió Gajdács

12.9k total citations · 2 hit papers
149 papers, 4.9k citations indexed

About

Márió Gajdács is a scholar working on Epidemiology, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Márió Gajdács has authored 149 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 41 papers in Molecular Medicine and 39 papers in Molecular Biology. Recurrent topics in Márió Gajdács's work include Antibiotic Resistance in Bacteria (41 papers), Bacterial Identification and Susceptibility Testing (26 papers) and Urinary Tract Infections Management (25 papers). Márió Gajdács is often cited by papers focused on Antibiotic Resistance in Bacteria (41 papers), Bacterial Identification and Susceptibility Testing (26 papers) and Urinary Tract Infections Management (25 papers). Márió Gajdács collaborates with scholars based in Hungary, Pakistan and Malaysia. Márió Gajdács's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Márió Gajdács

146 papers receiving 4.8k citations

Hit Papers

Antibiotic resistance in microbes: History, mechanisms, t... 2019 2026 2021 2023 2021 2019 200 400 600

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 Patrick N. A. Harris with:
Patrick N. A. Harris Australia
Stephen Hawser United States
Albert Sotto France
Niels Frimodt‐Møller Denmark
Surbhi Malhotra‐Kumar Belgium
Martin Steinbakk Norway
Pallab Ray India
José M. Munita Chile
Timothy J. Kidd Australia
John D. Perry United Kingdom
Patrick N. A. Harris Australia View profile →
Citations per field, relative to Márió Gajdács
Márió Gajdács · 1×
Citations per year, relative to Márió Gajdács
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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
# Work Indexed 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

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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2026