Nenad Maćešić

2.1k total citations · 1 hit paper
41 papers, 1.0k citations indexed

About

Nenad Maćešić is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases. According to data from OpenAlex, Nenad Maćešić has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Medicine, 13 papers in Clinical Biochemistry and 12 papers in Infectious Diseases. Recurrent topics in Nenad Maćešić's work include Antibiotic Resistance in Bacteria (24 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Nenad Maćešić is often cited by papers focused on Antibiotic Resistance in Bacteria (24 papers), Bacterial Identification and Susceptibility Testing (13 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). Nenad Maćešić collaborates with scholars based in Australia, United States and United Kingdom. Nenad Maćešić's co-authors include Anne‐Catrin Uhlemann, Medini K. Annavajhala, Angela Gomez‐Simmonds, Marla J. Giddins, Stephania Stump, Anton Y. Peleg, Thomas H. McConville, Sabrina Khan, Nicholas P. Tatonetti and Monica Mehta and has published in prestigious journals such as The Lancet, Nature Communications and PLoS ONE.

In The Last Decade

Nenad Maćešić

39 papers receiving 1.0k citations

Hit Papers

Multidrug-resistant Gram-negative bacterial infections 2025 2026 2025 10 20 30 40

Peers

Nenad Maćešić
Comparison fields: 5 of 106
  • Molecular Medicine 577
  • Epidemiology 275
  • Pharmacology 248
  • Molecular Biology 209
  • Infectious Diseases 205
Replace Cristina Pitart with:
Cristina Pitart Spain
Marta Tato Spain
Heather L. Cox United States
Yamuna Devi Bakthavatchalam India
Maria Pia Balice Italy
Maria M. Traczewski United States
Guillermo Ruíz-Carrascoso Spain
Mubarak Alfaresi United Arab Emirates
Francis S. Codjoe Ghana
Jui‐Fen Lai Taiwan
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Citations per field, relative to Nenad Maćešić
Nenad Maćešić · 1×
Citations per year, relative to Nenad Maćešić
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Countries citing papers authored by Nenad Maćešić

Since Specialization
Citations

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

Fields of papers citing papers by Nenad Maćešić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nenad Maćešić

This figure shows the co-authorship network connecting the top 25 collaborators of Nenad Maćešić. A scholar is included among the top collaborators of Nenad Maćešić 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 Nenad Maćešić. Nenad Maćešić 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 2
2 1
3 5
4
Multidrug-resistant Gram-negative bacterial infections breakdown →
48
5 0
6 2
7 2
8 12
9 6
10 1
11 24
12 3
13 49
14 10
15 37
16 35
17 76
18 4
19 12
20 46

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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