Martin McBride

4.3k citations
81 papers · 2.7k indexed · h-index 30

Impact in

Papers in

Martin McBride

80 papers receiving 2.6k citations

Peers

Martin McBride
Comparison fields: 5 of 114
  • Cancer Research 755
  • Endocrinology, Diabetes and Metabolism 390
  • Molecular Biology 1.4k
  • Obstetrics and Gynecology 138
  • Cardiology and Cardiovascular Medicine 401
Replace Ken L. Chambliss with:
Ken L. Chambliss United States
Bo Ding China
Ingeborg Hers United Kingdom
Katalin Kauser United States
Stephen B. Wheatcroft United Kingdom
Atsuko Nakatsuka Japan
Kimberly D. Kluckman United States
Oliver Tschopp Switzerland
Tianlun Yang China
Dongqi Xing United States
Martin McBride relative to Ken L. Chambliss United States Ken L. Chambliss's profile →
Citations per field
00.5×1.5×2.3×
Ken L. Chambliss · 1×
Citations per year

Countries citing papers authored by Martin McBride

Since Specialization
Citations

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

Fields of papers citing papers by Martin McBride

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Martin McBride, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Martin McBride Line = papers co-authored together Martin McBride links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 202218
3 202058
4 202057
5 2016181
6 20149
7 20146
8 2011109
9 200941
10 200810
11 200829
12 200618
13 200514
14 200319
15 200230
16 20026
17 199928
18 199766
19 199746
20 19954

About Martin McBride

Martin McBride is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Cancer Research, Cardiology and Cardiovascular Medicine and Aging, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Renin-Angiotensin System Studies (15 papers), Birth, Development, and Health (11 papers), MicroRNA in disease regulation (9 papers), Pregnancy and preeclampsia studies (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Circular RNAs in diseases (6 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). The work is most often cited by research in Cancer Research (755 citations), Endocrinology, Diabetes and Metabolism (390 citations), Molecular Biology (1.4k citations), Obstetrics and Gynecology (138 citations) and Cardiology and Cardiovascular Medicine (401 citations). Martin McBride has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anna F. Dominiczak, John McClure, Andrew H. Baker, Delyth Graham, M. Julia Brosnan, William H. Miller, Christian Delles, Delyth Graham, Sandosh Padmanabhan and Carlene A. Hamilton. Their work appears in journals such as Hypertension, Journal of Hypertension, Physiological Genomics, Clinical Science and Journal of Molecular Endocrinology.

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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