Patricia Merkel

414 citations
19 papers · 303 indexed · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (4 papers)T-cell and B-cell Immunology (4 papers)Immunodeficiency and Autoimmune Disorders (3 papers)

In The Last Decade

Patricia Merkel

18 papers receiving 297 citations

Peers

Patricia Merkel
Comparison fields: 5 of 71
  • Immunology 113
  • Molecular Biology 75
  • Epidemiology 75
  • Infectious Diseases 73
  • Oncology 32
Replace Smita Singh with:
Smita Singh India
Xin Ji China
Chi‐Ling Lin Taiwan
Eugenia Giuliani Italy
Sara Mazzilli Italy
Michael Weigand Germany
Brian McGuire United States
Jonathan Cho United States
Tomáš Milota Czechia
Karl Anton Kreuzer Germany
Patricia Merkel relative to Smita Singh India Smita Singh's profile →
Citations per field
00.5×4.9×
Smita Singh · 1×
Citations per year

Countries citing papers authored by Patricia Merkel

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Merkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Merkel

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 3
2 0
3 9
4 2
5
Concerns and Health-Related Behaviors During the COVID-19 Pandemic in Patients with or Without Autoimmune Rheumatic Disease in a Large Physician Network
3
6 16
7 17
8 22
9 2
10 23
11 1
12 4
13 47
14 21
15 9
16 59
17 38
18 5
19 22

About Patricia Merkel

Patricia Merkel is a scholar working on Immunology, Infectious Diseases and Visual Arts and Performing Arts, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Immunology (113 citations), Infectious Diseases (73 citations) and Biochemistry (14 citations). Patricia Merkel has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Vijaya Knight, Laurel Lenz, Michael O’Sullivan, Riccardo Perfetti, Nasif Khoury, Edward D. Chan, Corine Bertolotto, A. M. Jamieson, David H. Raulet and Carlos M. Pérez‐Vélez. Their work appears in journals such as Blood, Clinical Infectious Diseases and Journal of Allergy and Clinical Immunology.

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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