Marko E. Popovic

1.6k citations
66 papers · 1.1k · h-index 21

Impact in

Papers in

Marko E. Popovic

65 papers receiving 1.0k citations

Peers

Marko E. Popovic
Comparison fields: 5 of 104
  • Physical and Theoretical Chemistry 676
  • Infectious Diseases 427
  • Filtration and Separation 37
  • Aging 20
  • Statistical and Nonlinear Physics 122
Replace Antje Wolf with:
Antje Wolf Germany
Dmitry Nerukh United Kingdom
Oleg V. Krasilnikov Brazil
Mauricio Carrillo‐Tripp Mexico
Friederike Buchholz Germany
E. O. Powell United States
Cláudio Gabriel Rodrigues Brazil
Kyle W. Langford United States
Elena A. Ermakova Russia
Michelle Mary Kuttel South Africa
Marko E. Popovic relative to Antje Wolf Germany Antje Wolf's profile →
Citations per field
00.5×10×20×34.7×
Antje Wolf · 1×
Citations per year

Countries citing papers authored by Marko E. Popovic

Since Specialization
Citations

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

Fields of papers citing papers by Marko E. Popovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko E. Popovic. 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 Marko E. Popovic. The network helps show where Marko E. Popovic may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019103
2 202040
3 202038
4 202038
5 202237
6 202231
7 202229
8 202128
9 198027
10 201827
11 202226
12 202326
13 202226
14 202325
15 201724
16 202224
17 202224
18 202222
19 201822
20 202222

About Marko E. Popovic

Marko E. Popovic is a scholar working on Physical and Theoretical Chemistry, Infectious Diseases, Statistical and Nonlinear Physics, Genetics and Computational Theory and Mathematics, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include thermodynamics and calorimetric analyses (46 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Advanced Thermodynamics and Statistical Mechanics (17 papers), Evolution and Genetic Dynamics (9 papers), Computational Drug Discovery Methods (7 papers), Chemical Thermodynamics and Molecular Structure (7 papers), Viral gastroenteritis research and epidemiology (7 papers) and Field-Flow Fractionation Techniques (6 papers). The work is most often cited by research in Physical and Theoretical Chemistry (676 citations), Infectious Diseases (427 citations), Filtration and Separation (37 citations), Aging (20 citations) and Statistical and Nonlinear Physics (122 citations). Marko E. Popovic has collaborated with scholars based in Serbia, Germany and United States. Frequent co-authors include Mirjana Minceva, Brian F. Woodfield, Lee Duane Hansen, Gavrilo Šekularac, Marta Popović, Jayprokas Chakrabarti, Rabindra Nath Mohapatra, Ram Mohapatra, Richard J. Head and Jennifer Martin. Their work appears in journals such as The Journal of Chemical Thermodynamics, Heliyon, Virology, Journal of Biotechnology and Microbial Risk Analysis.

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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