Mark Kibschull

1.7k citations
34 papers · 1.3k · h-index 21

Impact in

Papers in

    • Connexins and lens biology 13
    • Pluripotent Stem Cells Research 5
    • Heat shock proteins research 3
    • Heme Oxygenase-1 and Carbon Monoxide 3
    • Pregnancy and preeclampsia studies 8

Mark Kibschull

34 papers receiving 1.3k citations

Peers

Mark Kibschull
Comparison fields: 5 of 89
  • Obstetrics and Gynecology 270
  • Reproductive Medicine 167
  • Molecular Biology 762
  • Immunology 195
  • Cell Biology 152
Replace Gregory B. Vanden Heuvel with:
Gregory B. Vanden Heuvel United States
Seby Edassery United States
Chikashi Tachi Japan
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Grant D. Orvis United States
Sanda M. Ciontea Romania
Gen Shinoda United States
Othman A. Mohamed Canada
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Citations per field
00.5×2.7×
Gregory B. Vanden Heuvel · 1×
Citations per year

Countries citing papers authored by Mark Kibschull

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kibschull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007199
2 1999154
3 2004133
4 200390
5 202077
6 200653
7 200851
8 201148
9 200746
10 201844
11 200440
12 201837
13 200436
14 202034
15 201833
16 200630
17 200525
18 201424
19 202024
20 201323

About Mark Kibschull

Mark Kibschull is a scholar working on Molecular Biology, Obstetrics and Gynecology, Epidemiology, Immunology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Connexins and lens biology (13 papers), Pregnancy and preeclampsia studies (8 papers), Preterm Birth and Chorioamnionitis (6 papers), Pluripotent Stem Cells Research (5 papers), Reproductive System and Pregnancy (5 papers), Heat shock proteins research (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Obstetrics and Gynecology (270 citations), Reproductive Medicine (167 citations), Molecular Biology (762 citations), Immunology (195 citations) and Cell Biology (152 citations). Mark Kibschull has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Elke Winterhager, Stephen J. Lye, Alexandra Gellhaus, Elisabeth Petrasch‐Parwez, Michael Laue, Manfred W. Kilimann, Xiaolu Wang, Klaus Willecke, Otto Traub and Heinz‐Dieter Gabriel. Their work appears in journals such as Developmental Biology, Placenta, Reproductive Sciences, American Journal of Obstetrics and Gynecology and Scientific Reports.

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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