Tibor Bakács

1.2k total citations
76 papers, 837 citations indexed

About

Tibor Bakács is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Tibor Bakács has authored 76 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 26 papers in Oncology and 15 papers in Epidemiology. Recurrent topics in Tibor Bakács's work include Immune Cell Function and Interaction (18 papers), Cancer Immunotherapy and Biomarkers (16 papers) and T-cell and B-cell Immunology (16 papers). Tibor Bakács is often cited by papers focused on Immune Cell Function and Interaction (18 papers), Cancer Immunotherapy and Biomarkers (16 papers) and T-cell and B-cell Immunology (16 papers). Tibor Bakács collaborates with scholars based in Hungary, United Kingdom and United States. Tibor Bakács's co-authors include Ralph W. Moss, J.N. Mehrishi, P Gergely, Eva Klein, Imre Kovesdi, George Klein, László K. Csatáry, David M. Segal, Michael Steinitz and Giuseppe Sconocchia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Tibor Bakács

74 papers receiving 754 citations

Peers

Tibor Bakács
Comparison fields: 5 of 79
  • Immunology 386
  • Oncology 336
  • Molecular Biology 198
  • Genetics 194
  • Epidemiology 181
Natalie Sutkowski United States
S K Narula United States
Eugene C. Butcher United States
Chantal Bella France
Hyun‐Tak Jin South Korea
Florence Boisgérault France
Zou Quan France
Carole Kurahara United States
Rauf Bhat Germany
J. A. Frelinger United States
Natalie Sutkowski United States View profile →
Citations per field, relative to Tibor Bakács
Tibor Bakács · 1×
Citations per year, relative to Tibor Bakács
Tibor Bakács · 1×

Countries citing papers authored by Tibor Bakács

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Bakács

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tibor Bakács

This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Bakács. A scholar is included among the top collaborators of Tibor Bakács based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tibor Bakács. Tibor Bakács is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 16
3 31
4 3
5 5
6 9
7 32
8 7
9 8
10 8
11 3
12 1
13 4
14 4
15 0
16 2
17 2
18 2
19
[Incidence of HLA-antigens and cytotoxic capacity of lymphocytes in patients with breast cancer].
1
20
Polimyelitis prophylaxis in Hungary.
5

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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