Mark G. Neerhof

62 total papers · 1.5k total citations
48 papers, 1.1k citations indexed

About

Mark G. Neerhof is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Mark G. Neerhof has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Pediatrics, Perinatology and Child Health, 30 papers in Obstetrics and Gynecology and 13 papers in Surgery. Recurrent topics in Mark G. Neerhof's work include Pregnancy and preeclampsia studies (27 papers), Birth, Development, and Health (17 papers) and Nitric Oxide and Endothelin Effects (12 papers). Mark G. Neerhof is often cited by papers focused on Pregnancy and preeclampsia studies (27 papers), Birth, Development, and Health (17 papers) and Nitric Oxide and Endothelin Effects (12 papers). Mark G. Neerhof collaborates with scholars based in United States, South Korea and Sweden. Mark G. Neerhof's co-authors include Larry G. Thaete, Scott N. MacGregor, Ann Ragin, Richard K. Silver, John S. Sholl, Michael S. Caplan, Saira Khan, Elaine I. Haney, David Kushner and Tamás Jilling and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Life Sciences and Biology of Reproduction.

In The Last Decade

Mark G. Neerhof

47 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Mark G. Neerhof 532 471 260 226 170 48 1.1k
Nathan Wasserstrum 352 0.7× 354 0.8× 277 1.1× 201 0.9× 177 1.0× 43 1.4k
Pamela G. Blake 634 1.2× 912 1.9× 128 0.5× 189 0.8× 92 0.5× 45 1.4k
Aïcha Mérouani 285 0.5× 282 0.6× 163 0.6× 183 0.8× 90 0.5× 36 1.1k
K Teramo 606 1.1× 522 1.1× 80 0.3× 148 0.7× 126 0.7× 30 1.1k
Joanna Tieu 198 0.4× 619 1.3× 180 0.7× 371 1.6× 160 0.9× 31 1.1k
Angeliki Papapanagiotou 279 0.5× 375 0.8× 222 0.9× 280 1.2× 62 0.4× 54 1.1k
D. M. Campbell 423 0.8× 499 1.1× 92 0.4× 120 0.5× 64 0.4× 35 1.1k
Sarah Williams 550 1.0× 394 0.8× 240 0.9× 299 1.3× 139 0.8× 39 1.4k
M. D. G. Gillmer 507 1.0× 532 1.1× 130 0.5× 329 1.5× 40 0.2× 63 1.5k
Larry Cousins 564 1.1× 656 1.4× 330 1.3× 351 1.6× 44 0.3× 41 1.4k

Countries citing papers authored by Mark G. Neerhof

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Neerhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Neerhof. 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 Mark G. Neerhof. The network helps show where Mark G. Neerhof may publish in the future.

Co-authorship network of co-authors of Mark G. Neerhof

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Neerhof. A scholar is included among the top collaborators of Mark G. Neerhof 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 Mark G. Neerhof. Mark G. Neerhof 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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