J. M. Dowd

761 total citations
9 papers, 518 citations indexed

About

J. M. Dowd is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, J. M. Dowd has authored 9 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Plant Science. Recurrent topics in J. M. Dowd's work include Plant Diversity and Evolution (7 papers), Plant and Fungal Species Descriptions (4 papers) and Genomics and Phylogenetic Studies (3 papers). J. M. Dowd is often cited by papers focused on Plant Diversity and Evolution (7 papers), Plant and Fungal Species Descriptions (4 papers) and Genomics and Phylogenetic Studies (3 papers). J. M. Dowd collaborates with scholars based in Australia and United States. J. M. Dowd's co-authors include PG Martin, D. R. Morgan, Susan M. Swensen, Beth C. Mullin, Douglas E. Soltis, Pamela S. Soltis, John G. Conran, Peter Martin, Christopher J. Quinn and Robert A. Price and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Phytochemistry and Journal of Molecular Evolution.

In The Last Decade

J. M. Dowd

9 papers receiving 470 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
J. M. Dowd Australia	7	328	248	164	78	49	9	518
PG Martin Australia	10	351 1.1×	287 1.2×	211 1.3×	79 1.0×	57 1.2×	16	596
Diego L. Salariato Argentina	10	235 0.7×	405 1.6×	112 0.7×	31 0.4×	65 1.3×	49	463
Hildemar Scholz Germany	13	397 1.2×	330 1.3×	51 0.3×	30 0.4×	47 1.0×	76	497
José F. Pensiero Argentina	11	203 0.6×	211 0.9×	60 0.4×	42 0.5×	51 1.0×	57	355
Sean V. Burke United States	14	230 0.7×	469 1.9×	356 2.2×	24 0.3×	54 1.1×	20	614
Wray M. Bowden	13	393 1.2×	307 1.2×	126 0.8×	40 0.5×	34 0.7×	28	534
W.M. Kain New Zealand	12	129 0.4×	161 0.6×	29 0.2×	74 0.9×	51 1.0×	40	363
T. M. Hardig United States	8	190 0.6×	246 1.0×	138 0.8×	45 0.6×	78 1.6×	11	396
Aaron D. Wilton New Zealand	8	223 0.7×	117 0.5×	151 0.9×	12 0.2×	67 1.4×	13	338
Martin Borrill United Kingdom	15	374 1.1×	343 1.4×	87 0.5×	80 1.0×	59 1.2×	30	558

Countries citing papers authored by J. M. Dowd

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Dowd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. M. Dowd

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

All Works

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9 of 9 papers shown

1.

Conran, John G., Peter Martin, J. M. Dowd, et al.. (2000). Generic relationships within and between the gymnosperm families Podocarpaceae and Phyllocladaceae based on an analysis of the chloroplast gene rbc L. Australian Journal of Botany. 48(6). 715–724. 63 indexed citations

2.

Soltis, Douglas E., Pamela S. Soltis, D. R. Morgan, et al.. (1995). Chloroplast gene sequence data suggest a single origin of the predisposition for symbiotic nitrogen fixation in angiosperms.. Proceedings of the National Academy of Sciences. 92(7). 2647–2651. 333 indexed citations

3.

Conran, John G. & J. M. Dowd. (1994). The phylogenetic relationships ofByblis andRoridula (Byblidaceae-Roridulaceae) inferred from partial 18S ribosomal RNA sequences. Plant Systematics and Evolution. 188-188(1-2). 73–86. 6 indexed citations

4.

Martin, Peter & J. M. Dowd. (1993). Partial sequences of ribosomal RNA of papilionaceae and related families. Phytochemistry. 33(2). 361–363. 2 indexed citations

5.

Martin, PG & J. M. Dowd. (1991). A comparison of 18s ribosomal RNA and rubisco large subunit sequences for studying angiosperm phylogeny. Journal of Molecular Evolution. 33(3). 274–282. 17 indexed citations

6.

Martin, PG & J. M. Dowd. (1991). Studies of Angiosperm Phylogeny using Protein Sequences. Annals of the Missouri Botanical Garden. 78(2). 296–296. 38 indexed citations

7.

Martin, PG & J. M. Dowd. (1988). A MOLECULAR EVOLUTIONARY CLOCK FOR ANGIOSPERMS. Taxon. 37(2). 364–377. 24 indexed citations

8.

Martin, PG & J. M. Dowd. (1986). Phylogenetic Studies Using Protein Sequences Within the Order Myrtales. Annals of the Missouri Botanical Garden. 73(2). 442–442. 21 indexed citations

9.

Martin, PG & J. M. Dowd. (1986). A PHYLOGENETIC TREE FOR SOME MONOCOTYLEDONS AND GYMNOSPERMS DERIVED FROM PROTEIN SEQUENCES. Taxon. 35(3). 469–475. 14 indexed citations

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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