Marie C. Smithgall

699 citations
26 papers · 486 · h-index 8

Impact in

    • COVID-19 Impact on Reproduction
    • Pregnancy and preeclampsia studies
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • COVID-19 Impact on Reproduction 4
    • Pregnancy and preeclampsia studies 2
    • SARS-CoV-2 detection and testing 3
    • SARS-CoV-2 and COVID-19 Research 2
    • Antifungal resistance and susceptibility 2

Marie C. Smithgall

18 papers receiving 476 citations

Peers

Marie C. Smithgall
Comparison fields: 5 of 57
  • Obstetrics and Gynecology 143
  • Infectious Diseases 191
  • Epidemiology 93
  • Biomedical Engineering 96
  • Pediatrics, Perinatology and Child Health 29
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Citations per field
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Citations per year

Countries citing papers authored by Marie C. Smithgall

Since Specialization
Citations

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

Fields of papers citing papers by Marie C. Smithgall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie C. Smithgall. 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 Marie C. Smithgall. The network helps show where Marie C. Smithgall may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020155
2 2020122
3 202054
4 201833
5 202033
6 201330
7 202119
8 202210
9 20156
10 20225
11 20234
12 20254
13 20233
14 20253
15 20242
16 20201
17 20221
18 20241
19 20200
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About Marie C. Smithgall

Marie C. Smithgall is a scholar working on Obstetrics and Gynecology, Infectious Diseases, Epidemiology, Pathology and Forensic Medicine and Immunology, having authored 26 papers that have together received 486 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (4 papers), Respiratory viral infections research (3 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cervical Cancer and HPV Research (2 papers), Genetic factors in colorectal cancer (2 papers), Pregnancy and preeclampsia studies (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Obstetrics and Gynecology (143 citations), Infectious Diseases (191 citations), Epidemiology (93 citations), Biomedical Engineering (96 citations) and Pediatrics, Perinatology and Child Health (29 citations). Marie C. Smithgall has collaborated with scholars based in United States, Qatar and Denmark. Frequent co-authors include Daniel A. Green, Susan Whittier, Adela Cimic, Diane Hamele‐Bena, Mirella Mourad, Larisa V. Debelenko, Steven L. Spitalnik, Eldad A. Hod, Mitra Dowlatshahi and Celibell Y. Vargas. Their work appears in journals such as International Journal of Gynecological Pathology, Influenza and Other Respiratory Viruses, Human Pathology, Histopathology and Biomedical Microdevices.

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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