E. Pineda

965 citations
11 papers · 775 · h-index 9

Impact in

  • Microbiology top 0.5%
    • Bacterial Infections and Vaccines
    • Pneumonia and Respiratory Infections
    • Influenza Virus Research Studies
    • Infective Endocarditis Diagnosis and Management
    • Respiratory viral infections research

Papers in

    • Bacterial Infections and Vaccines 7
    • Pneumonia and Respiratory Infections 3
    • Herpesvirus Infections and Treatments 2
    • Cytomegalovirus and herpesvirus research 1

E. Pineda

11 papers receiving 703 citations

Peers

E. Pineda
Comparison fields: 5 of 53
  • Microbiology 659
  • Epidemiology 670
  • Health 73
  • Infectious Diseases 136
  • Neurology 89
Replace ChrisAnna M. Mink with:
ChrisAnna M. Mink United States
Tatsuo Aoyama Japan
David L. Klein United States
Swei‐Ju Chang United States
Heinz-J. Schmitt Germany
William Meekison Canada
T. Q. Tan United States
Joan Bartlett United States
Bo A. Claesson Sweden
Jerry Labadie Netherlands
E. Pineda relative to ChrisAnna M. Mink United States ChrisAnna M. Mink's profile →
Citations per field
00.5×1.5×
ChrisAnna M. Mink · 1×
Citations per year

Countries citing papers authored by E. Pineda

Since Specialization
Citations

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

Fields of papers citing papers by E. Pineda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside E. Pineda, 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 E. Pineda Line = papers co-authored together E. Pineda links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1992221
2 1995160
3 1995153
4 1995136
5
Unrecognized maternal peripartum pertussis with subsequent fatal neonatal pertussis.
199331
6 198630
7 198911
8 199811
9 19939
10 19828
11 19935

About E. Pineda

E. Pineda is a scholar working on Microbiology, Epidemiology, General Health Professions, Infectious Diseases and Molecular Biology, having authored 11 papers that have together received 775 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (7 papers), Pneumonia and Respiratory Infections (3 papers), Child and Adolescent Health (3 papers), Cardiovascular Issues in Pregnancy (2 papers), Herpesvirus Infections and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cytomegalovirus and herpesvirus research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Microbiology (659 citations), Epidemiology (670 citations), Health (73 citations), Infectious Diseases (136 citations) and Neurology (89 citations). E. Pineda has collaborated with scholars based in United States and Germany. Frequent co-authors include James D. Cherry, Peter D. Christenson, Karen Lewis, ChrisAnna M. Mink, Dean A. Blumberg, John Dawson, T L Kuhls, Michael A. Überall, Sabina Schmitt‐Grohé and Ulrich Heininger. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, Obstetrics and Gynecology, Diagnostic Microbiology and Infectious Disease and The Journal of 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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