John M. Grant

163 total papers · 839 total citations
50 papers, 566 citations indexed

About

John M. Grant is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John M. Grant has authored 50 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Obstetrics and Gynecology, 8 papers in Pediatrics, Perinatology and Child Health and 8 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John M. Grant's work include Semiconductor materials and devices (8 papers), Maternal and Perinatal Health Interventions (5 papers) and Pregnancy and preeclampsia studies (5 papers). John M. Grant is often cited by papers focused on Semiconductor materials and devices (8 papers), Maternal and Perinatal Health Interventions (5 papers) and Pregnancy and preeclampsia studies (5 papers). John M. Grant collaborates with scholars based in United States, United Kingdom and Australia. John M. Grant's co-authors include Susan M. Bailey, Alan Fix, G. Thomas Strickland, Kathryn Rosenberg, Tom Aitchison, Tahir Mahmood, Michael R. Fearnside, David I. Conway, Christopher M. Putman and George B. Selby and has published in prestigious journals such as JAMA, Journal of Materials Chemistry and Journal of neurosurgery.

In The Last Decade

John M. Grant

41 papers receiving 505 citations

Author Peers

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

Author						Papers	Cites
John M. Grant	257	204	121	112	61	50	566
Lawrence Nathan	102 0.4×	152 0.7×	126 1.0×	114 1.0×	105 1.7×	30	665
Florin Gorun	198 0.8×	54 0.3×	116 1.0×	138 1.2×	34 0.6×	40	513
Akihiko Kikuchi	91 0.4×	168 0.8×	98 0.8×	93 0.8×	136 2.2×	70	586
Eumenia Castro	193 0.8×	174 0.9×	136 1.1×	121 1.1×	74 1.2×	39	635
L. Masini	96 0.4×	208 1.0×	61 0.5×	118 1.1×	96 1.6×	44	665
Valentina Consiglio	242 0.9×	270 1.3×	270 2.2×	70 0.6×	80 1.3×	39	645
Sonika Agarwal	134 0.5×	183 0.9×	174 1.4×	46 0.4×	34 0.6×	64	605
Rolf Schlößer	83 0.3×	169 0.8×	69 0.6×	173 1.5×	225 3.7×	53	658
Christy Pylypjuk	273 1.1×	274 1.3×	226 1.9×	187 1.7×	68 1.1×	40	651
S Timonen	101 0.4×	84 0.4×	247 2.0×	90 0.8×	32 0.5×	62	695

Countries citing papers authored by John M. Grant

Since Specialization

Citations

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

Fields of papers citing papers by John M. Grant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Grant

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