J. Grant

633 total citations
2 papers, 26 citations indexed

About

J. Grant is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Hematology. According to data from OpenAlex, J. Grant has authored 2 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pediatrics, Perinatology and Child Health, 1 paper in Obstetrics and Gynecology and 1 paper in Hematology. Recurrent topics in J. Grant's work include Pregnancy and preeclampsia studies (1 paper), Neonatal and fetal brain pathology (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). J. Grant is often cited by papers focused on Pregnancy and preeclampsia studies (1 paper), Neonatal and fetal brain pathology (1 paper) and Erythrocyte Function and Pathophysiology (1 paper). J. Grant collaborates with scholars based in United States. J. Grant's co-authors include P. B. Booth, I. Dunsford, Sandra Murray, Alan Tita, Jeff M. Szychowski and Lorie M. Harper and has published in prestigious journals such as Obstetrics and Gynecology and BMJ.

In The Last Decade

J. Grant

2 papers receiving 23 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Grant United States	2	17	10	7	4	4	2	26
Robert Tyler United Kingdom	2	9 0.5×	5 0.5×	6 0.9×	2 0.5×	2 0.5×	2	20
H. A. Shapiro Canada	3	9 0.5×	6 0.6×	2 0.3×	1 0.3×	2 0.5×	4	33
Joseph T. Roberts Australia	3	8 0.5×	8 0.8×	2 0.3×		1 0.3×	5	25
Chaibou Maman Sani Niger	3	16 0.9×	7 0.7×	2 0.3×			3	23
Amanuel Tebabal Nega Ethiopia	3	8 0.5×	6 0.6×	4 0.6×			5	12
Hugh K. Ward Australia	2	6 0.4×	16 1.6×		4 1.0×	1 0.3×	3	21
Aurélie Stanislas France	4	15 0.9×	27 2.7×	4 0.6×	3 0.8×		4	33
H. E. Magee United States	2	5 0.3×	9 0.9×	6 0.9×			4	25
Nadir Ghanem Israel	3	4 0.2×	2 0.2×	7 1.0×	10 2.5×		5	27
Rakesh Waghmare India	3	5 0.3×	4 0.4×	8 1.1×			6	14

Countries citing papers authored by J. Grant

Since Specialization

Citations

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

Fields of papers citing papers by J. Grant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of J. Grant. A scholar is included among the top collaborators of J. 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 J. Grant. J. 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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2 of 2 papers shown

1.

Tita, Alan, et al.. (2018). Perinatal Outcomes in Women With a History of Chronic Hypertension but Normal Blood Pressures Before 20 Weeks of Gestation. Obstetrics and Gynecology. 131(5). 827–834. 9 indexed citations

2.

Booth, P. B., I. Dunsford, J. Grant, & Sandra Murray. (1953). Haemolytic Disease in First-born Infants. BMJ. 2(4826). 41.3–42. 17 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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