Karin Hevner

982 citations
22 papers · 788 · h-index 16

Impact in

Papers in

Karin Hevner

22 papers receiving 768 citations

Peers

Karin Hevner
Comparison fields: 5 of 81
  • Obstetrics and Gynecology 226
  • Microbiology 151
  • Physiology 264
  • Pediatrics, Perinatology and Child Health 142
  • Clinical Biochemistry 28
Replace Sam Schoenmakers with:
Sam Schoenmakers Netherlands
José Galaz United States
Jenny L. Sones United States
Stacey L. Holman Australia
Cheryl A. Keech United States
Peta L. Grigsby United States
Danielle K. Bourque Canada
Amy G. Brown United States
Peck Yin Chin Australia
Drew W. Sadowsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Karin Hevner

Since Specialization
Citations

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

Fields of papers citing papers by Karin Hevner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Karin Hevner, 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 Karin Hevner Line = papers co-authored together Karin Hevner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004125
2 201796
3 201057
4 200656
5 201152
6
A case-control study of maternal blood mitochondrial DNA copy number and preeclampsia risk.
201248
7 200347
8 201546
9 201345
10 201228
11
Maternal blood mitochondrial DNA copy number and placental abruption risk: results from a preliminary study.
201328
12 201526
13 200425
14 200524
15 201524
16 201217
17 201513
18 201610
19 20157
20 20127

About Karin Hevner

Karin Hevner is a scholar working on Obstetrics and Gynecology, Microbiology, Physiology, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 22 papers that have together received 788 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (6 papers), Syphilis Diagnosis and Treatment (5 papers), Gestational Diabetes Research and Management (3 papers), Reproductive tract infections research (3 papers), Sex work and related issues (2 papers), Birth, Development, and Health (2 papers), Metabolism and Genetic Disorders (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (226 citations), Microbiology (151 citations), Physiology (264 citations), Pediatrics, Perinatology and Child Health (142 citations) and Clinical Biochemistry (28 citations). Karin Hevner has collaborated with scholars based in United States, Peru and Italy. Frequent co-authors include Michelle Anne Williams, Daniel A. Enquobahrie, Chunfang Qiu, Sheila A. Lukehart, Arturo Centurion‐Lara, Barbara J. Molini, Wesley C. Van Voorhis, Dejene F. Abetew, Charmie Godornes and Sixto E. Sánchez. Their work appears in journals such as Infection and Immunity, Diabetes Research and Clinical Practice, BMC Psychiatry, Clinical Biochemistry and Reproductive Sciences.

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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