Zsófia Hegedüs

732 citations
22 papers · 547 · h-index 8

Impact in

Papers in

Zsófia Hegedüs

20 papers receiving 539 citations

Peers

Zsófia Hegedüs
Comparison fields: 5 of 79
  • Microbiology 206
  • Molecular Medicine 54
  • Molecular Biology 364
  • Applied Microbiology and Biotechnology 7
  • Biomaterials 45
Replace Gábor Olajos with:
Gábor Olajos Hungary
Imre Földesi Hungary
Deepesh Nagarajan India
Melanie Clifford United Kingdom
Daniela Ciumac United Kingdom
Myriam Bergmann Switzerland
Jason E. Cummings United States
Edson Crusca Brazil
Jerrin Kuriakose United States
Bee‐Ha Gan Switzerland
Zsófia Hegedüs relative to Gábor Olajos Hungary Gábor Olajos's profile →
Citations per field
00.5×1.5×
Gábor Olajos · 1×
Citations per year

Countries citing papers authored by Zsófia Hegedüs

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Hegedüs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zsófia Hegedüs, 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 Zsófia Hegedüs Line = papers co-authored together Zsófia Hegedüs 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 2018318
2 201969
3 201333
4 201719
5 201918
6 202015
7 202014
8 201414
9 20218
10 20227
11 20187
12 20214
13 20164
14 20203
15 20253
16 20153
17 20163
18 20232
19 20222
20 20251

About Zsófia Hegedüs

Zsófia Hegedüs is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Molecular Medicine, Oncology and Biomaterials, having authored 22 papers that have together received 547 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Click Chemistry and Applications (3 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Microbiology (206 citations), Molecular Medicine (54 citations), Molecular Biology (364 citations), Applied Microbiology and Biotechnology (7 citations) and Biomaterials (45 citations). Zsófia Hegedüs has collaborated with scholars based in Hungary, United Kingdom and France. Frequent co-authors include Tamás A. Martinek, Andrew John Wilson, Richard Barry Sessions, Thomas A. Edwards, Adam S. Nelson, Edit Wéber, Fruzsina Hóbor, Gail J. Bartlett, Amaurys Ávila Ibarra and Derek N. Woolfson. Their work appears in journals such as Chemical Science, RSC Chemical Biology, ChemBioChem, Pharmaceutics and ChemistryOpen.

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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