Cornelia Schmitt

2.8k citations
30 papers · 970 · h-index 14

Impact in

Papers in

    • Forensic and Genetic Research 13
    • Race, Genetics, and Society 3
    • Molecular Biology Techniques and Applications 11

Cornelia Schmitt

30 papers receiving 939 citations

Peers

Cornelia Schmitt
Comparison fields: 5 of 76
  • Animal Science and Zoology 540
  • Aging 52
  • Infectious Diseases 318
  • Genetics 443
  • Cardiology and Cardiovascular Medicine 238
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Y Hu China
Marta Gaglia United States
Peiqing Cong China
K. H. Witte Germany
Ana Quintas Spain
Sirika Pillay United States
Zhiguo Liang United States
Emily Huang United States
Roberto Malinverni Spain
Qinfang Liu United States
Cornelia Schmitt relative to Y Hu China Y Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cornelia Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003176
2 2003140
3 2000111
4 200479
5 200366
6 201261
7 200454
8 199351
9 200137
10 200628
11 200025
12 201823
13 200420
14 199713
15 199413
16 199812
17 199811
18 20019
19 19948
20 19948

About Cornelia Schmitt

Cornelia Schmitt is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 970 indexed citations. Recurring topics across this work include Forensic and Genetic Research (13 papers), Molecular Biology Techniques and Applications (11 papers), Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (5 papers), Race, Genetics, and Society (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Animal Science and Zoology (540 citations), Aging (52 citations), Infectious Diseases (318 citations), Genetics (443 citations) and Cardiology and Cardiovascular Medicine (238 citations). Cornelia Schmitt has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Annette Mankertz, Kim Hattermann, D. Soike, Tim Finsterbusch, Tobias Steinfeldt, Mechthild Prinz, M. Hidding, Bernd Hillenbrand, Wolfgang Grellner and K Albrecht. Their work appears in journals such as Forensic Science International, Electrophoresis, Transplant International, PLoS ONE and Xenotransplantation.

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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