Marko Rašeta

431 citations
22 papers · 172 · h-index 5

Impact in

    • Genetics, Aging, and Longevity in Model Organisms
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

    • Complex Systems and Time Series Analysis 5
    • Financial Markets and Investment Strategies 2
    • Banking stability, regulation, efficiency 1

Marko Rašeta

19 papers receiving 170 citations

Peers

Marko Rašeta
Comparison fields: 5 of 73
  • Aging 11
  • Biophysics 13
  • Analytical Chemistry 11
  • General Energy 1
  • Molecular Biology 61
Replace Anastasia Shneyderman with:
Anastasia Shneyderman Hong Kong
Chenghui Zhao China
Eliah Overbey United States
Taiki Kokubun Japan
Hannah Voß Germany
Tereza Nečasová Czechia
Elianne P. Bulthuis Netherlands
G Mezey Hungary
Dongkeun Jang United States
Jeffrey L De Pons United States
Marko Rašeta relative to Anastasia Shneyderman Hong Kong Anastasia Shneyderman's profile →
Citations per field
00.5×6.3×
Anastasia Shneyderman · 1×
Citations per year

Countries citing papers authored by Marko Rašeta

Since Specialization
Citations

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

Fields of papers citing papers by Marko Rašeta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202377
2 202029
3 201918
4 202111
5 20206
6 20234
7 20233
8 20233
9 20233
10 20253
11 20232
12 20252
13 20242
14 20142
15 20202
16 20191
17 20231
18 20231
19 20141
20 20191

About Marko Rašeta

Marko Rašeta is a scholar working on Economics and Econometrics, Finance, Epidemiology, Molecular Biology and Statistical and Nonlinear Physics, having authored 22 papers that have together received 172 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (5 papers), Analytic Number Theory Research (2 papers), Financial Markets and Investment Strategies (2 papers), Acute Ischemic Stroke Management (2 papers), Banking stability, regulation, efficiency (1 paper), DNA Repair Mechanisms (1 paper), Evolutionary Game Theory and Cooperation (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Aging (11 citations), Biophysics (13 citations), Analytical Chemistry (11 citations), General Energy (1 citation) and Molecular Biology (61 citations). Marko Rašeta has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent co-authors include Christine Roffe, Indira Natarajan, Jan H.J. Hoeijmakers, Kasper Derks, Marjolein P. Baar, Sander Barnhoorn, Renata M. C. Brandt, Jiang Chang, Ákos Gyenis and Joris Pothof. Their work appears in journals such as The Thoracic and Cardiovascular Surgeon, BMC Cardiovascular Disorders, Neurological Sciences, Empirical Economics and Clinical Radiology.

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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