Stanka Romac

1.2k citations
73 papers · 853 · h-index 17

Impact in

Papers in

Stanka Romac

69 papers receiving 827 citations

Peers

Stanka Romac
Comparison fields: 5 of 74
  • Cellular and Molecular Neuroscience 353
  • Neurology 215
  • Neurology 66
  • Molecular Biology 438
  • Cancer Research 77
Replace Georgia Kouroupi with:
Georgia Kouroupi Greece
Dušanka Savić‐Pavićević Serbia
Claudio De‐Fraja Italy
John Wolff United States
Claus Rieker Germany
Patricia Páez Spain
Hideji Hashida Japan
Maria Grazia Pomponi Italy
Jens Leander Johansen Denmark
Ashraf U. Mannan India
Stanka Romac relative to Georgia Kouroupi Greece Georgia Kouroupi's profile →
Citations per field
00.5×3.9×
Georgia Kouroupi · 1×
Citations per year

Countries citing papers authored by Stanka Romac

Since Specialization
Citations

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

Fields of papers citing papers by Stanka Romac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200466
2 201346
3 198439
4 198937
5 200636
6 201535
7 201434
8 201533
9 200228
10 200624
11 201322
12 200122
13 200721
14 200519
15 201117
16 200117
17 200216
18 201516
19 198315
20 199115

About Stanka Romac

Stanka Romac is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Pulmonary and Respiratory Medicine, having authored 73 papers that have together received 853 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (27 papers), Mitochondrial Function and Pathology (16 papers), Hereditary Neurological Disorders (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (6 papers), Prostate Cancer Treatment and Research (5 papers), DNA Repair Mechanisms (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (353 citations), Neurology (215 citations), Neurology (66 citations), Molecular Biology (438 citations) and Cancer Research (77 citations). Stanka Romac has collaborated with scholars based in Serbia, United States and Czechia. Frequent co-authors include Dušanka Savić‐Pavićević, Goran Brajušković, Vladimir Kostić, Marina Svetel, Franklin Hutchinson, Slobodan Apostolski, S. Todorović, Slobodanka Vukosavić, Ana Djarmati and Snežana Cerović. Their work appears in journals such as Acta Neurologica Scandinavica, European Journal of Neurology, Forensic Science International, Movement Disorders and Journal of Neurology.

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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