David M. Magyar

33 total papers · 780 total citations
25 papers, 608 citations indexed

About

David M. Magyar is a scholar working on Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, David M. Magyar has authored 25 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pediatrics, Perinatology and Child Health, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Reproductive Medicine. Recurrent topics in David M. Magyar's work include Birth, Development, and Health (7 papers), Ovarian function and disorders (6 papers) and Reproductive Biology and Fertility (4 papers). David M. Magyar is often cited by papers focused on Birth, Development, and Health (7 papers), Ovarian function and disorders (6 papers) and Reproductive Biology and Fertility (4 papers). David M. Magyar collaborates with scholars based in United States, Hungary and United Kingdom. David M. Magyar's co-authors include Peter W. Nathanielsz, John R. Marshall, J.E. Buster, Carlene W. Elsner, Maria F. Hayes, Kamran S. Moghissi, Johan W. Eliot, THEODORE H. GLATZ, A H Klein and K. C. Lowe and has published in prestigious journals such as Endocrinology, American Journal of Obstetrics and Gynecology and Fertility and Sterility.

In The Last Decade

David M. Magyar

24 papers receiving 567 citations

Author Peers

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

Author						Papers	Cites
David M. Magyar	231	131	117	111	107	25	608
G Pontonnier	154 0.7×	47 0.4×	204 1.7×	175 1.6×	37 0.3×	47	628
Enrico Picciolini	184 0.8×	80 0.6×	39 0.3×	125 1.1×	163 1.5×	21	588
John R.K. Preedy	95 0.4×	146 1.1×	119 1.0×	99 0.9×	37 0.3×	24	654
M. G. Brush	59 0.3×	67 0.5×	98 0.8×	193 1.7×	44 0.4×	32	672
I. R. Young	168 0.7×	79 0.6×	23 0.2×	52 0.5×	113 1.1×	33	530
GD Thorburn	300 1.3×	66 0.5×	22 0.2×	47 0.4×	118 1.1×	26	663
J D Hutton	204 0.9×	141 1.1×	90 0.8×	146 1.3×	40 0.4×	26	611
Julia Lobotsky	71 0.3×	243 1.9×	174 1.5×	80 0.7×	32 0.3×	28	565
Gregory Goodwin	59 0.3×	107 0.8×	22 0.2×	99 0.9×	61 0.6×	16	676
R Jewelewicz	76 0.3×	92 0.7×	224 1.9×	181 1.6×	21 0.2×	30	532

Countries citing papers authored by David M. Magyar

Since Specialization

Citations

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

Fields of papers citing papers by David M. Magyar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Magyar

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