László Kőhidai
- Molecular Biology top 10%
- Biomedical Engineering
- Immunology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Co-authors
- G. CsabaOrsolya LángEszter LajkóGábor MezőÉva PállingerPéter KovácsFerenc HudeczDal Hyung Kim
- Topics
- Protist diversity and phylogeny (36 papers)Chemical Synthesis and Analysis (12 papers)RNA Interference and Gene Delivery (6 papers)
- Partner nations
- HungaryUnited StatesGermany
In The Last Decade
László Kőhidai
133 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 776
- Biomedical Engineering 177
- Immunology 141
- Cellular and Molecular Neuroscience 132
- Oncology 128
Countries citing papers authored by László Kőhidai
This map shows the geographic impact of László Kőhidai'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 László Kőhidai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Kőhidai more than expected).
Fields of papers citing papers by László Kőhidai
This network shows the impact of papers produced by László Kőhidai. 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 László Kőhidai. The network helps show where László Kőhidai may publish in the future.
Co-authorship network of co-authors of László Kőhidai
This figure shows the co-authorship network connecting the top 25 collaborators of László Kőhidai. A scholar is included among the top collaborators of László Kőhidai 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 László Kőhidai. László Kőhidai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 23 | |
| 11 | 5 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 38 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | Effect of oxytocin and its analogues on the phagocytosis of Tetrahymena: Outstanding impact of isotocin | 4 |
| 19 | Effect of epidermal growth factor (EGF) on Tetrahymena pyriformis | 5 |
| 20 | MOLECULE DEPENDENT CHEMOTACTIC RESPONSES OF TETRAHYMENA PYRIFORMIS ELICITED BY VOLATILE OILS | 34 |
About László Kőhidai
László Kőhidai is a scholar working on Molecular Biology, Environmental Chemistry and Endocrine and Autonomic Systems, having authored 139 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (36 papers), Chemical Synthesis and Analysis (12 papers) and RNA Interference and Gene Delivery (6 papers). The work is most often cited by research in Molecular Biology (776 citations), Endocrine and Autonomic Systems (55 citations) and Condensed Matter Physics (94 citations). László Kőhidai has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include G. Csaba, Orsolya Láng, Eszter Lajkó, Gábor Mező, Éva Pállinger, Péter Kovács, Ferenc Hudecz, Dal Hyung Kim, Min Jun Kim and G. Csaba. Their work appears in journals such as Applied Physics Letters, The Science of The Total Environment and Scientific Reports.
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.