Sara A. Paciga

16.9k citations
15 papers · 968 indexed · 1 hit paper · h-index 12
Topics
Genetic Associations and Epidemiology (3 papers)Lipoproteins and Cardiovascular Health (2 papers)Ion channel regulation and function (2 papers)

In The Last Decade

Sara A. Paciga

14 papers receiving 955 citations

Hit Papers

Identification of 15 genetic loci associated with risk of...20162026201920222016100200300400

Peers

Sara A. Paciga
Comparison fields: 5 of 88
  • Molecular Biology 349
  • Genetics 312
  • Surgery 143
  • Physiology 142
  • Biological Psychiatry 84
Replace Richard Sherva with:
Richard Sherva United States
Riikka Rontu Finland
Tetsuo Sakai Japan
Séverine Trabado France
Inga Prokopenko United Kingdom
Suk Ling Hong Kong
Rena Li United States
Yifeng Shen China
Silje Skrede Norway
Małgorzata Maciukiewicz Canada
Sara A. Paciga relative to Richard Sherva United States Richard Sherva's profile →
Citations per field
00.5×1.5×1.8×
Richard Sherva · 1×
Citations per year

Countries citing papers authored by Sara A. Paciga

Since Specialization
Citations

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

Fields of papers citing papers by Sara A. Paciga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara A. Paciga. 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 Sara A. Paciga. The network helps show where Sara A. Paciga may publish in the future.

Co-authorship network of co-authors of Sara A. Paciga

This figure shows the co-authorship network connecting the top 25 collaborators of Sara A. Paciga. A scholar is included among the top collaborators of Sara A. Paciga 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 Sara A. Paciga. Sara A. Paciga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 18
3 6
4 16
5 24
6
Identification of 15 genetic loci associated with risk of major depression in individuals of European descentbreakdown →
448
7 40
8 5
9 30
10 79
11 19
12 145
13 14
14 107
15 17

About Sara A. Paciga

Sara A. Paciga is a scholar working on Internal Medicine, Cell Biology and Biochemistry, having authored 15 papers that have together received 968 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Biological Psychiatry (84 citations), Genetics (312 citations) and Behavioral Neuroscience (37 citations). Sara A. Paciga has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Craig Hyde, David A. Hinds, Ashley R. Winslow, Roy H. Perlis, Xing Chen, Michael W. Nagle, Jens R. Wendland, Joyce Y. Tung, Chao Tian and John F. Thompson. Their work appears in journals such as Nature Genetics, PLoS ONE and Journal of Lipid Research.

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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