N. T. Mirov

85 total papers · 1.4k total citations
40 papers, 1.0k citations indexed

About

N. T. Mirov is a scholar working on Molecular Biology, Organic Chemistry and Plant Science. According to data from OpenAlex, N. T. Mirov has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Organic Chemistry and 7 papers in Plant Science. Recurrent topics in N. T. Mirov's work include Biological Activity of Diterpenoids and Biflavonoids (17 papers), Plant biochemistry and biosynthesis (14 papers) and Plant-Derived Bioactive Compounds (7 papers). N. T. Mirov is often cited by papers focused on Biological Activity of Diterpenoids and Biflavonoids (17 papers), Plant biochemistry and biosynthesis (14 papers) and Plant-Derived Bioactive Compounds (7 papers). N. T. Mirov collaborates with scholars based in United States and Slovakia. N. T. Mirov's co-authors include William S. Lacey, Eugene Zavarin, Karel Snajberk, Henry N. Michael, Ernest M. Gifford, A. J. Haagen‐Smit, Robert G. Stanley, Chung‐Jen Lee, Jan C. Petersen and Chauncy D. Harris and has published in prestigious journals such as Journal of Ecology, Phytochemistry and Soil Science.

In The Last Decade

N. T. Mirov

40 papers receiving 802 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
N. T. Mirov	332	301	289	269	250	40	1.0k
M. I. H. Brooker	435 1.3×	440 1.5×	259 0.9×	492 1.8×	190 0.8×	48	1.2k
Gregor Aas	482 1.5×	305 1.0×	166 0.6×	407 1.5×	276 1.1×	59	1.1k
G. I. Forrest	320 1.0×	215 0.7×	240 0.8×	247 0.9×	404 1.6×	29	984
André Pornon	515 1.6×	382 1.3×	216 0.7×	544 2.0×	214 0.9×	40	1.1k
Grzegorz Iszkuło	484 1.5×	323 1.1×	156 0.5×	455 1.7×	122 0.5×	65	940
Boris Fumanal	627 1.9×	205 0.7×	181 0.6×	225 0.8×	135 0.5×	30	1.0k
Stefano Martellos	506 1.5×	201 0.7×	325 1.1×	475 1.8×	209 0.8×	69	1.1k
George W. Argus	450 1.4×	229 0.8×	243 0.8×	341 1.3×	184 0.7×	46	975
W. J. Libby	493 1.5×	543 1.8×	236 0.8×	272 1.0×	238 1.0×	54	1.2k
M. Thompson Conkle	327 1.0×	291 1.0×	219 0.8×	274 1.0×	216 0.9×	29	891

Countries citing papers authored by N. T. Mirov

Since Specialization

Citations

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

Fields of papers citing papers by N. T. Mirov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. T. Mirov

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