Daniel T. MacLeod

2.0k citations
11 papers · 1.4k · h-index 10

Impact in

  • Dermatology top 0.5%
    • Dermatology and Skin Diseases
    • Acne and Rosacea Treatments and Effects
    • Antimicrobial Peptides and Activities

Papers in

    • Mast cells and histamine 2
    • Immune Response and Inflammation 2
    • Dermatology and Skin Diseases 4

Daniel T. MacLeod

11 papers receiving 1.4k citations

Peers

Daniel T. MacLeod
Comparison fields: 5 of 81
  • Dermatology 665
  • Microbiology 184
  • Immunology and Allergy 166
  • Immunology 291
  • Rehabilitation 73
Replace Tetsuya Koga with:
Tetsuya Koga Japan
Maren Simanski Germany
Catharina Johansson Sweden
Andrea Koreck Hungary
Aayushi Uberoi United States
Behnam Kalali Germany
Olivier Demaria Switzerland
Stephanie M. Rangel United States
Janet R. Kimball United States
Florian Sparber Switzerland
Daniel T. MacLeod relative to Tetsuya Koga Japan Tetsuya Koga's profile →
Citations per field
00.5×11×
Tetsuya Koga · 1×
Citations per year

Countries citing papers authored by Daniel T. MacLeod

Since Specialization
Citations

This map shows the geographic impact of Daniel T. MacLeod'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 Daniel T. MacLeod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. MacLeod more than expected).

Fields of papers citing papers by Daniel T. MacLeod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. MacLeod. 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 Daniel T. MacLeod. The network helps show where Daniel T. MacLeod may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel T. MacLeod, 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 Daniel T. MacLeod Line = papers co-authored together Daniel T. MacLeod links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2010331
2 2009320
3 2010273
4 2017225
5 201185
6 201274
7 201342
8 201436
9 200926
10 202314
11 20163

About Daniel T. MacLeod

Daniel T. MacLeod is a scholar working on Immunology, Dermatology, Epidemiology, Physiology and Microbiology, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (4 papers), Antimicrobial Peptides and Activities (3 papers), Herpesvirus Infections and Treatments (3 papers), Mast cells and histamine (2 papers), Asthma and respiratory diseases (2 papers), Immune Response and Inflammation (2 papers), CAR-T cell therapy research (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Dermatology (665 citations), Microbiology (184 citations), Immunology and Allergy (166 citations), Immunology (291 citations) and Rehabilitation (73 citations). Daniel T. MacLeod has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Richard L. Gallo, Anna L. Cogen, Anna Di Nardo, Yuping Lai, Kenshi Yamasaki, Teruaki Nakatsuji, Zhenping Wang, Shin Morizane, Anke Leichtle and Hyun Jeong Park. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Immunology, Nature Communications, Molecular Therapy and Cell Reports.

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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