Pam Drysdale

1.9k citations
10 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Tuberculosis Research and Epidemiology (4 papers)Immune Cell Function and Interaction (4 papers)Mycobacterium research and diagnosis (4 papers)

In The Last Decade

Pam Drysdale

10 papers receiving 1.4k citations

Hit Papers

Impairment of Mycobacterial Immunity in Human Interleukin...19982026200720161998200400600

Peers

Pam Drysdale
Comparison fields: 5 of 79
  • Immunology 843
  • Epidemiology 601
  • Infectious Diseases 579
  • Rehabilitation 174
  • Oncology 144
Replace Janine Bilsborough with:
Janine Bilsborough United States
Mary Renshaw United States
Desa Lilić United Kingdom
Brigitte Jenewein Austria
Amit A. Patel United Kingdom
Vasileios Oikonomou Italy
J Y Djeu United States
Mary Fafutis‐Morris Mexico
Pierre Saint-Mézard France
Jorge Barrios‐Payán Mexico
Pam Drysdale relative to Janine Bilsborough United States Janine Bilsborough's profile →
Citations per field
00.5×8.2×
Janine Bilsborough · 1×
Citations per year

Countries citing papers authored by Pam Drysdale

Since Specialization
Citations

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

Fields of papers citing papers by Pam Drysdale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pam Drysdale

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 130
2
Effects of acute exhaustive exercise and chronic exercise training on type 1 and type 2 T lymphocytes.
118
3
Effect of acute exhaustive exercise and a 6-day period of intensified training on immune function in cyclists
12
4 59
5 57
6 316
7
Impairment of Mycobacterial Immunity in Human Interleukin-12 Receptor Deficiencybreakdown →
644
8 23
9 72
10 1

About Pam Drysdale

Pam Drysdale is a scholar working on Rehabilitation, Immunology and Infectious Diseases, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Immune Cell Function and Interaction (4 papers) and Mycobacterium research and diagnosis (4 papers). The work is most often cited by research in Immunology (843 citations), Infectious Diseases (579 citations) and Rehabilitation (174 citations). Pam Drysdale has collaborated with scholars based in United Kingdom, France and Sweden. Frequent co-authors include David A. Lammas, Jean‐Laurent Casanova, Frédéric Altare, Anne Durandy, Rainer Döffinger, Alain Fischer, Salma Lamhamedi, Emmanuelle Jouanguy, Olle Jeppsson and Edgar Meinl. Their work appears in journals such as Science, Journal of Clinical Investigation and The Journal of Physiology.

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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