Erika Molnár

2.6k citations
78 papers · 1.0k · h-index 19

Impact in

  • Archeology top 0.5%
    • Forensic Anthropology and Bioarchaeology Studies
    • Paleopathology and ancient diseases
    • Aquatic Ecosystems and Phytoplankton Dynamics

Papers in

    • Infectious Diseases and Tuberculosis 26
    • Osteomyelitis and Bone Disorders Research 16

Erika Molnár

71 papers receiving 950 citations

Peers

Erika Molnár
Comparison fields: 5 of 110
  • Archeology 309
  • Environmental Chemistry 134
  • Infectious Diseases 218
  • Rheumatology 126
  • Genetics 249
Replace J. Appleton with:
J. Appleton United Kingdom
Agnès Mihajlovski France
Akihiko Ikegami Japan
Adam Altrichter United States
Maike Claußen Germany
D.E. Gardner United States
Piero Lovreglio Italy
Renee J. Smith Australia
Xubo Qian China
Erika Molnár relative to J. Appleton United Kingdom J. Appleton's profile →
Citations per field
00.5×10×20×31.1×
J. Appleton · 1×
Citations per year

Countries citing papers authored by Erika Molnár

Since Specialization
Citations

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

Fields of papers citing papers by Erika Molnár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200076
2 200267
3 200267
4 200750
5 201350
6 199347
7 201534
8 200233
9 201932
10 201227
11 202026
12 202025
13 201725
14 202024
15 201522
16 201020
17 201019
18 200918
19 202118
20 201217

About Erika Molnár

Erika Molnár is a scholar working on Surgery, Rheumatology, Archeology, Infectious Diseases and Genetics, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Infectious Diseases and Tuberculosis (26 papers), Osteomyelitis and Bone Disorders Research (16 papers), Forensic Anthropology and Bioarchaeology Studies (13 papers), Mycobacterium research and diagnosis (10 papers), Paleopathology and ancient diseases (9 papers), Forensic and Genetic Research (9 papers), Tuberculosis Research and Epidemiology (8 papers) and Archaeology and ancient environmental studies (7 papers). The work is most often cited by research in Archeology (309 citations), Environmental Chemistry (134 citations), Infectious Diseases (218 citations), Rheumatology (126 citations) and Genetics (249 citations). Erika Molnár has collaborated with scholars based in Hungary, United Kingdom and France. Frequent co-authors include György Pálfi, Antónia Marcsik, Péter Fodor, Albert Zink, Gábor Vasas, Csaba Máthé, G. Borbély, Márta M‐Hamvas, István Grigorszky and David Hunt. Their work appears in journals such as Tuberculosis, PLoS ONE, International Journal of Osteoarchaeology, Scientific Reports and Archaeological and Anthropological Sciences.

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.

Explore authors with similar magnitude of impact