Marc Suling

484 citations
11 papers · 362 · h-index 8

Impact in

  • Toxicology top 5%
    • Pharmacovigilance and Adverse Drug Reactions
    • Gestational Diabetes Research and Management
    • Pregnancy and preeclampsia studies

Papers in

Marc Suling

11 papers receiving 351 citations

Peers

Marc Suling
Comparison fields: 5 of 72
  • Toxicology 43
  • Obstetrics and Gynecology 57
  • Public Health, Environmental and Occupational Health 102
  • Statistics and Probability 26
  • Pediatrics, Perinatology and Child Health 41
Replace Aoi Noda with:
Aoi Noda Japan
Caroline Hurault‐Delarue France
Julie M. Petersen United States
Einat Gorelik Israel
Alex Cressman Canada
Ksenia Zagorodnikova Russia
Viktor Mravčík Czechia
Sieta T. de Vries Netherlands
Camille Craig Canada
Р. Манн United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Suling

Since Specialization
Citations

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

Fields of papers citing papers by Marc Suling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201275
2 201154
3 201951
4 201251
5 201045
6 201243
7 201520
8 201118
9 20073
10 20181
11 20181

About Marc Suling

Marc Suling is a scholar working on Public Health, Environmental and Occupational Health, Toxicology, Physiology, Statistics and Probability and Surgery, having authored 11 papers that have together received 362 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Cardiovascular Syncope and Autonomic Disorders (1 paper), Gestational Diabetes Research and Management (1 paper), Advanced Causal Inference Techniques (1 paper), Nutrition, Genetics, and Disease (1 paper), Statistical Methods in Clinical Trials (1 paper) and Maternal Mental Health During Pregnancy and Postpartum (1 paper). The work is most often cited by research in Toxicology (43 citations), Obstetrics and Gynecology (57 citations), Public Health, Environmental and Occupational Health (102 citations), Statistics and Probability (26 citations) and Pediatrics, Perinatology and Child Health (41 citations). Marc Suling has collaborated with scholars based in Germany, Italy and Hungary. Frequent co-authors include Iris Pigeot, Edeltraut Garbe, Sebastian Kloss, Toomas Veidebaum, Wolfgang Ahrens, Sebastian Schneeweiß, Christina Lindemann, Ulrike Schmid, Alfonso Siani and Dénes Molnár. Their work appears in journals such as International Journal of Obesity, Archives of Gynecology and Obstetrics, Drug Safety, Pharmaceutics and European Journal of Clinical Pharmacology.

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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