Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Neutrophils as emerging therapeutic targets
2020492 citationsTamás Németh, Attila Mócsai et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Tamás Németh'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 Tamás Németh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Németh more than expected).
This network shows the impact of papers produced by Tamás Németh. 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 Tamás Németh. The network helps show where Tamás Németh may publish in the future.
Co-authorship network of co-authors of Tamás Németh
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Németh.
A scholar is included among the top collaborators of Tamás Németh 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 Tamás Németh. Tamás Németh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Árendás, Tamás, Tamás Németh, László Radimszky, & Z. Bedö. (2008). Applicability of the N min method as a function of the year, based on the results of wheat experiments. Cereal Research Communications. 36. 207–210.2 indexed citations
8.
Németh, Tamás, et al.. (2008). Element content of young canola grown on different nitrogen supply levels. Cereal Research Communications. 36. 1927–1930.1 indexed citations
9.
Lehoczky, Éva, et al.. (2008). Study on competition between maize and weeds in long-term soil tillage experiments. Cereal Research Communications. 36. 1575–1578.4 indexed citations
10.
Németh, Tamás, et al.. (2008). Nitrogen, phosphorus, potassium, acid, sugar and vitamin C content in tomato grown in different soil types and under different nitrogen doses. Cereal Research Communications. 36. 1415–1418.3 indexed citations
11.
Németh, Tamás, et al.. (2008). Influence of nutrient supply on tuber and sugar yield of Jerusalem artichoke (Helianthus tuberosus L.). Cereal Research Communications. 36. 1899–1902.1 indexed citations
Németh, Tamás. (2006). Nitrogen in the soil-plant system, nitrogen balances. Cereal Research Communications. 34(1). 61–64.34 indexed citations
17.
Bíró, Borbála, Katalin Posta, Anna Füzy, Imre Kádár, & Tamás Németh. (2005). Mycorrhizal functioning as part of the survival mechanisms of barley (Hordeum vulgare L) at long-term heavy metal stress. Acta Biologica Szegediensis. 49. 65–67.21 indexed citations
Lehoczky, Éva, et al.. (2002). Testing of available heavy metal content of soils in Long-Term Fertilization Trials with ryegrass (Lolium perenne L.). Acta Biologica Szegediensis. 46. 107–108.4 indexed citations
20.
Németh, Tamás, et al.. (1998). The role of rock phosphates in sustainable agriculture: the Hungarian experience with Algerian rock phosphate. Zeszyty Problemowe Postępów Nauk Rolniczych. 456.
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.