M. T. Hetmanski

21 total papers · 601 total citations
17 papers, 477 citations indexed

About

M. T. Hetmanski is a scholar working on Plant Science, Food Science and Molecular Biology. According to data from OpenAlex, M. T. Hetmanski has authored 17 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 5 papers in Food Science and 3 papers in Molecular Biology. Recurrent topics in M. T. Hetmanski's work include Mycotoxins in Agriculture and Food (11 papers), Plant Disease Resistance and Genetics (5 papers) and Pesticide Residue Analysis and Safety (5 papers). M. T. Hetmanski is often cited by papers focused on Mycotoxins in Agriculture and Food (11 papers), Plant Disease Resistance and Genetics (5 papers) and Pesticide Residue Analysis and Safety (5 papers). M. T. Hetmanski collaborates with scholars based in United Kingdom, Denmark and Fiji. M. T. Hetmanski's co-authors include K. A. Scudamore, S. Nawaz, Richard J. Fussell, J. H. Clarke, Philip A. Clarke, Karen A. Barnes, James R. Startin, Geoffrey Brown, B.G. Osborne and Francis Chizoruo Ibe and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Analytical and Bioanalytical Chemistry.

In The Last Decade

M. T. Hetmanski

16 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
M. T. Hetmanski 377 155 56 55 52 17 477
Lu Zhou 414 1.1× 146 0.9× 93 1.7× 31 0.6× 96 1.8× 18 521
Maurício Schneider Oliveira 300 0.8× 92 0.6× 78 1.4× 30 0.5× 44 0.8× 20 439
Yasushi Nagatomi 271 0.7× 217 1.4× 55 1.0× 67 1.2× 57 1.1× 20 473
Carolyn J Oles 249 0.7× 149 1.0× 26 0.5× 40 0.7× 74 1.4× 14 488
Atsuo Uyama 286 0.8× 209 1.3× 55 1.0× 52 0.9× 51 1.0× 20 447
E A Sizoo 425 1.1× 162 1.0× 42 0.8× 27 0.5× 34 0.7× 15 472
Yan Zhu 295 0.8× 119 0.8× 46 0.8× 39 0.7× 99 1.9× 20 468
Gabrijela Tavčar-Kalcher 336 0.9× 117 0.8× 44 0.8× 27 0.5× 55 1.1× 24 485
John E. Schade 215 0.6× 143 0.9× 71 1.3× 17 0.3× 68 1.3× 21 500
Pantelis I. Natskoulis 305 0.8× 245 1.6× 118 2.1× 35 0.6× 75 1.4× 22 526

Countries citing papers authored by M. T. Hetmanski

Since Specialization
Citations

This map shows the geographic impact of M. T. Hetmanski'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 M. T. Hetmanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. Hetmanski more than expected).

Fields of papers citing papers by M. T. Hetmanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. T. Hetmanski. 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 M. T. Hetmanski. The network helps show where M. T. Hetmanski may publish in the future.

Co-authorship network of co-authors of M. T. Hetmanski

This figure shows the co-authorship network connecting the top 25 collaborators of M. T. Hetmanski. A scholar is included among the top collaborators of M. T. Hetmanski 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 M. T. Hetmanski. M. T. Hetmanski 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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