Gesa Schwanitz

2.8k citations
132 papers · 1.6k indexed · h-index 22

Gesa Schwanitz

127 papers receiving 1.5k citations

Peers

Gesa Schwanitz
Comparison fields: 5 of 92
  • Genetics 1.1k
  • Pediatrics, Perinatology and Child Health 696
  • Developmental Biology 56
  • Reproductive Medicine 140
  • Plant Science 418
Replace M.J.W. Faed with:
M.J.W. Faed United Kingdom
M. Ray Canada
Avirachan T. Tharapel United States
E. Boyd United Kingdom
S Armendares Mexico
PatriciaA. Jacobs United Kingdom
de Grouchy J France
Güven Lüleci Türkiye
Iris Bartels Germany
Susana Kofman‐Alfaro Mexico
Gesa Schwanitz relative to M.J.W. Faed United Kingdom M.J.W. Faed's profile →
Citations per field
00.5×
M.J.W. Faed · 1×
Citations per year

Countries citing papers authored by Gesa Schwanitz

Since Specialization
Citations

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

Fields of papers citing papers by Gesa Schwanitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 200810
3 20065
4 200619
5 200515
6 20057
7 200216
8
Cytogenetic and andrological status and ICSI-results in couples with severe male factor infertility.
200010
9 20006
10 199865
11 19983
12 199740
13 19966
14 199427
15 199210
16 198822
17 198055
18 197210
19 19714
20
Chromosomal injury due to occupational lead poisoning.
19702

About Gesa Schwanitz

Gesa Schwanitz is a scholar working on Developmental Biology, Genetics, Pediatrics, Perinatology and Child Health, Plant Science and Urology, having authored 132 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (64 papers), Prenatal Screening and Diagnostics (39 papers), Chromosomal and Genetic Variations (36 papers), Congenital limb and hand anomalies (11 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Congenital Anomalies and Fetal Surgery (9 papers), Sexual Differentiation and Disorders (8 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Genetics (1.1k citations), Pediatrics, Perinatology and Child Health (696 citations), Developmental Biology (56 citations), Reproductive Medicine (140 citations) and Plant Science (418 citations). Gesa Schwanitz has collaborated with scholars based in Germany, Poland and Iran. Frequent co-authors include Regine Schubert, Thomas Eggermann, Hartmut Engels, Markus Montag, Katrin van der Ven, Klaus Zerres, H.‐D. Rott, H. van der Ven, M. Hansmann and G. Lehnert. Their work appears in journals such as Human Genetics, Prenatal Diagnosis, Clinical Genetics, Human Reproduction and European Journal of Human Genetics.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026