Karen Schwander

9.3k citations
31 papers · 461 indexed · h-index 13
Topics
Genetic Associations and Epidemiology (23 papers)Nutrition, Genetics, and Disease (7 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)

In The Last Decade

Karen Schwander

29 papers receiving 449 citations

Peers

Karen Schwander
Comparison fields: 5 of 85
  • Genetics 226
  • Molecular Biology 131
  • Cardiology and Cardiovascular Medicine 100
  • Endocrinology, Diabetes and Metabolism 90
  • Pediatrics, Perinatology and Child Health 65
Replace Kerrie Lashley with:
Kerrie Lashley United States
Charles Rotimi United States
Giuseppe Argiolas Italy
Bogda Skowrońska Poland
Marisela Villalobos‐Comparán Mexico
Jonathan Eli Arbelle Israel
Ross M. Fraser United Kingdom
Luobu Gesang China
Jacob M. Keaton United States
Ozlem Senol-Cosar United States
Karen Schwander relative to Kerrie Lashley United States Kerrie Lashley's profile →
Citations per field
00.5×5.3×
Kerrie Lashley · 1×
Citations per year

Countries citing papers authored by Karen Schwander

Since Specialization
Citations

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

Fields of papers citing papers by Karen Schwander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Schwander

This figure shows the co-authorship network connecting the top 25 collaborators of Karen Schwander. A scholar is included among the top collaborators of Karen Schwander based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Karen Schwander. Karen Schwander is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 15
4 3
5 3
6 5
7 5
8 0
9 11
10 8
11 12
12 39
13 25
14 7
15 11
16 7
17 9
18 13
19 12
20 21

About Karen Schwander

Karen Schwander is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 461 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (23 papers), Nutrition, Genetics, and Disease (7 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Genetics (226 citations), Endocrinology, Diabetes and Metabolism (90 citations) and Nephrology (38 citations). Karen Schwander has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include D. C. Rao, Yan V. Sun, Donna K. Arnett, Steven C. Hunt, Lisa de las Fuentes, Yun Ju Sung, Stephen S. Rich, Jeannette Simino, Eric Boerwinkle and Gerardo Heiss. Their work appears in journals such as Scientific Reports, American Journal of Epidemiology and Hypertension.

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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