Jacqueline D. Peacock

825 citations
16 papers · 628 indexed · h-index 12
Topics
Cardiac Valve Diseases and Treatments (3 papers)Connective tissue disorders research (3 papers)Cell Adhesion Molecules Research (3 papers)

In The Last Decade

Jacqueline D. Peacock

16 papers receiving 619 citations

Peers

Jacqueline D. Peacock
Comparison fields: 5 of 72
  • Molecular Biology 299
  • Cardiology and Cardiovascular Medicine 181
  • Pulmonary and Respiratory Medicine 122
  • Genetics 102
  • Surgery 98
Replace Philip A. Bondzie with:
Philip A. Bondzie United States
Petra G.M. van Overveld Netherlands
Mieko Katsuura Japan
Muhammad Faiyaz‐Ul‐Haque Canada
Carola Dony Germany
Tomoyo Sasaki United States
Shane Whittaker Australia
C Camacho-Hübner United Kingdom
Ilpo Koskivirta Finland
Carole Le Hénaff France
Jacqueline D. Peacock relative to Philip A. Bondzie United States Philip A. Bondzie's profile →
Citations per field
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Philip A. Bondzie · 1×
Citations per year

Countries citing papers authored by Jacqueline D. Peacock

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline D. Peacock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline D. Peacock. 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 Jacqueline D. Peacock. The network helps show where Jacqueline D. Peacock may publish in the future.

Co-authorship network of co-authors of Jacqueline D. Peacock

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 1
3 30
4 38
5 7
6 58
7 34
8 16
9 14
10 1
11 82
12 60
13 39
14 103
15 51
16 93

About Jacqueline D. Peacock

Jacqueline D. Peacock is a scholar working on Immunology and Allergy, Hematology and Cell Biology, having authored 16 papers that have together received 628 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (3 papers), Connective tissue disorders research (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (181 citations), Aging (10 citations) and Rheumatology (86 citations). Jacqueline D. Peacock has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joy Lincoln, Agata Levay, Manuel Koch, Ge Tao, Karl E. Kadler, Yinhui Lu, Matthew R. Steensma, Donald J. Scholten, Dominic W. Pelle and Robert B. Hinton. Their work appears in journals such as PLoS ONE, Circulation Research and Cancer 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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