Gábor Baksa

605 citations
36 papers · 433 · h-index 12

Impact in

Papers in

Gábor Baksa

34 papers receiving 430 citations

Peers

Gábor Baksa
Comparison fields: 5 of 74
  • Oral Surgery 28
  • Cellular and Molecular Neuroscience 76
  • Cell Biology 66
  • Neurology 27
  • Endocrinology, Diabetes and Metabolism 49
Replace Beat M. Riederer with:
Beat M. Riederer Switzerland
Marc Cherruau France
John‐Paul Bouffard United States
Sofia Douzgou United Kingdom
A. D. Hockley United Kingdom
Vasiliki Zouvelou Greece
Martin E. Atkinson United Kingdom
Michael G. Orgel United States
Tianyi Niu United States
Gábor Baksa relative to Beat M. Riederer Switzerland Beat M. Riederer's profile →
Citations per field
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Beat M. Riederer · 1×
Citations per year

Countries citing papers authored by Gábor Baksa

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Baksa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201281
2 201049
3 201432
4 201126
5 201724
6 201620
7 201418
8 201618
9 201917
10 200716
11 201713
12 201212
13 201310
14 201710
15 20119
16 20189
17 20179
18 20188
19 20148
20 20147

About Gábor Baksa

Gábor Baksa is a scholar working on Surgery, Cellular and Molecular Neuroscience, Urology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 36 papers that have together received 433 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (4 papers), Periodontal Regeneration and Treatments (4 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Surgical Simulation and Training (2 papers), Dental Implant Techniques and Outcomes (2 papers), Paleopathology and ancient diseases (2 papers), Heterotopic Ossification and Related Conditions (2 papers) and Head and Neck Surgical Oncology (2 papers). The work is most often cited by research in Oral Surgery (28 citations), Cellular and Molecular Neuroscience (76 citations), Cell Biology (66 citations), Neurology (27 citations) and Endocrinology, Diabetes and Metabolism (49 citations). Gábor Baksa has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Lajos Patonay, Tibor Glasz, László Négyessy, Alán Alpár, Markus Morawski, Thomas Arendt, Heikki Tanila, Carsten Jäger, Tibor Harkany and Johannes Attems. Their work appears in journals such as The International Journal of Periodontics & Restorative Dentistry, The Thoracic and Cardiovascular Surgeon, Clinical Oral Investigations, Pathology & Oncology Research and Rhinology Journal.

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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