Mark Kibschull

1.6k citations
37 papers · 1.4k · h-index 21

Impact in

Papers in

Mark Kibschull

35 papers receiving 1.4k citations

Peers

Mark Kibschull
Comparison fields: 5 of 64
  • Obstetrics and Gynecology 235
  • Reproductive Medicine 150
  • Molecular Biology 541
  • Immunology 135
  • Cellular and Molecular Neuroscience 101
Replace H Sugino with:
H Sugino Japan
Irmgard Classen-Linke Germany
Stephen J. Delaney United Kingdom
Philippe Coullin France
Paul Blakeley United Kingdom
Grant D. Orvis United States
Janet G. Carver United Kingdom
Frederick C.K. Wong United Kingdom
Jason G. Knott United States
Othman A. Mohamed Canada
Mark Kibschull relative to H Sugino Japan H Sugino's profile →
Citations per field
00.5×2×4×6×8.3×
H Sugino · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007198
2 1999158
3 2004133
4 200390
5 202086
6 200653
7 200853
8 201149
9 200747
10 201847
11 200441
12 201840
13 202038
14 200437
15 201834
16 200629
17 200526
18 201425
19 202024
20 201323

About Mark Kibschull

Mark Kibschull is a scholar working on Obstetrics and Gynecology, Molecular Biology, Epidemiology, Immunology and Cell Biology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Connexins and lens biology (13 papers), Pregnancy and preeclampsia studies (8 papers), Pluripotent Stem Cells Research (5 papers), Preterm Birth and Chorioamnionitis (5 papers), Reproductive System and Pregnancy (3 papers), Pelvic floor disorders treatments (2 papers), Molecular Biology Techniques and Applications (1 paper) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Obstetrics and Gynecology (235 citations), Reproductive Medicine (150 citations), Molecular Biology (541 citations), Immunology (135 citations) and Cellular and Molecular Neuroscience (101 citations). Mark Kibschull has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Elke Winterhager, Stephen James Lye, Alexandra Gellhaus, Elisabeth Petrasch‐Parwez, Xiaolu Wang, Manfred W. Kilimann, Beate Lichte, Michael M. Laue, Otto Traub and Heinz‐Dieter Gabriel. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Scientific Reports, Developmental Biology, Reproductive Biology and Endocrinology 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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