N Prajda

25 total papers · 473 total citations
22 papers, 413 citations indexed

About

N Prajda is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, N Prajda has authored 22 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in N Prajda's work include Colorectal Cancer Treatments and Studies (6 papers), Biochemical and Molecular Research (5 papers) and Gastric Cancer Management and Outcomes (4 papers). N Prajda is often cited by papers focused on Colorectal Cancer Treatments and Studies (6 papers), Biochemical and Molecular Research (5 papers) and Gastric Cancer Management and Outcomes (4 papers). N Prajda collaborates with scholars based in United States, Hungary and Czechia. N Prajda's co-authors include George Weber, Radhey L. Singhal, Edith Oláh, Katherine Y. Look, G. W. Sledge, Hui Yang, Judit Kralovánszky, Fei Shen, Yen-Cheng Yeh and S. Kerpel‐Fronius and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Cancer Chemotherapy and Pharmacology and Journal of Toxicology and Environmental Health.

In The Last Decade

N Prajda

22 papers receiving 389 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
N Prajda	251	81	60	43	42	22	413
Balázs Radnai	207 0.8×	107 1.3×	28 0.5×	47 1.1×	58 1.4×	23	493
Guifen Xu	183 0.7×	38 0.5×	33 0.6×	18 0.4×	20 0.5×	25	451
Csenge Antus	208 0.8×	51 0.6×	29 0.5×	47 1.1×	31 0.7×	12	392
Benedikt Giessrigl	256 1.0×	103 1.3×	39 0.7×	69 1.6×	28 0.7×	22	460
Yuting Yang	181 0.7×	64 0.8×	35 0.6×	64 1.5×	22 0.5×	17	440
Annalisa Maruca	249 1.0×	45 0.6×	37 0.6×	20 0.5×	21 0.5×	25	489
María Paula Ceballos	207 0.8×	133 1.6×	31 0.5×	88 2.0×	37 0.9×	25	483
Mi-Young Kim	166 0.7×	93 1.1×	13 0.2×	64 1.5×	31 0.7×	23	398
Lunawati L. Bennett	177 0.7×	51 0.6×	34 0.6×	22 0.5×	24 0.6×	14	407
Jin Su	142 0.6×	60 0.7×	42 0.7×	43 1.0×	22 0.5×	39	413

Countries citing papers authored by N Prajda

Since Specialization

Citations

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

Fields of papers citing papers by N Prajda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N Prajda

This figure shows the co-authorship network connecting the top 25 collaborators of N Prajda. A scholar is included among the top collaborators of N Prajda 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 N Prajda. N Prajda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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