M. P. Hegarty

37 total papers · 578 total citations
20 papers, 267 citations indexed

About

M. P. Hegarty is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, M. P. Hegarty has authored 20 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Plant Science. Recurrent topics in M. P. Hegarty's work include Plant Toxicity and Pharmacological Properties (8 papers), Botanical Research and Chemistry (6 papers) and Plant and fungal interactions (4 papers). M. P. Hegarty is often cited by papers focused on Plant Toxicity and Pharmacological Properties (8 papers), Botanical Research and Chemistry (6 papers) and Plant and fungal interactions (4 papers). M. P. Hegarty collaborates with scholars based in Australia, United States and United Kingdom. M. P. Hegarty's co-authors include G.S. Christie, A. W. Pound, M. G. A. Wilson, George W. J. Fleet, Linda E. Fellows, Andrew E. Derome, A. M. Scofield, Robert J. Nash, Andrew Plant and Christopher S. McSweeney and has published in prestigious journals such as Nature, Cellular and Molecular Life Sciences and Tetrahedron.

In The Last Decade

M. P. Hegarty

20 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
M. P. Hegarty	136	72	71	54	34	20	267
N. K. Hart	103 0.8×	22 0.3×	91 1.3×	42 0.8×	28 0.8×	13	321
Hans C. Krebs	171 1.3×	45 0.6×	112 1.6×	31 0.6×	12 0.4×	31	319
Atsuko Nishiyama	88 0.6×	18 0.3×	73 1.0×	108 2.0×	18 0.5×	26	322
RD Court	123 0.9×	67 0.9×	85 1.2×	12 0.2×	83 2.4×	9	293
A. I. Virtanen	99 0.7×	18 0.3×	84 1.2×	41 0.8×	16 0.5×	19	227
Lolita Arnoldi	124 0.9×	24 0.3×	105 1.5×	71 1.3×	7 0.2×	17	329
Gandolfina Farina	102 0.8×	57 0.8×	133 1.9×	78 1.4×	16 0.5×	21	326
Rafia Rehman	72 0.5×	17 0.2×	119 1.7×	41 0.8×	7 0.2×	13	283
Ching-Fun Chang	88 0.6×	34 0.5×	184 2.6×	26 0.5×	23 0.7×	31	310
Yat Sen Wong	180 1.3×	13 0.2×	101 1.4×	24 0.4×	7 0.2×	22	325

Countries citing papers authored by M. P. Hegarty

Since Specialization

Citations

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

Fields of papers citing papers by M. P. Hegarty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. P. Hegarty

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