David Guzman

662 citations
16 papers · 273 · 1 hit paper · h-index 9

Impact in

    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
    • Bird parasitology and diseases

Papers in

David Guzman

15 papers receiving 268 citations

David Guzman's Hit Papers

Machine learning in point-of-care testing: innovations, challenges, and opportunities 2025 · 47 citations
470Years since publication10203040

Peers

David Guzman
Comparison fields: 5 of 79
  • Immunology 162
  • Parasitology 23
  • Transplantation 9
  • Genetics 63
  • Hematology 25
Replace Katja Heinemann with:
Katja Heinemann Germany
Gundula Jaeger Germany
Lyn Ambrose United Kingdom
Vibhu Joshi India
Geertje H. A. Westerlaken Netherlands
Belinda L. Drake United States
Ana Rita Couto Portugal
K Terada Japan
R Raff United States
Nasrin Bazargan Iran
David Guzman relative to Katja Heinemann Germany Katja Heinemann's profile →
Citations per field
00.5×7.1×
Katja Heinemann · 1×
Citations per year

Countries citing papers authored by David Guzman

Since Specialization
Citations

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

Fields of papers citing papers by David Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200783
2
Machine learning in point-of-care testing: innovations, challenges, and opportunities
Hit paper breakdown →
202547
3 200729
4 201621
5 202019
6 202115
7 200812
8 201111
9 20198
10 20147
11 20076
12 20095
13 20174
14 20243
15 20203
16 20240

About David Guzman

David Guzman is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Epidemiology, Parasitology and Surgery, having authored 16 papers that have together received 273 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (6 papers), Bird parasitology and diseases (3 papers), Cystic Fibrosis Research Advances (2 papers), Veterinary Oncology Research (2 papers), Tracheal and airway disorders (2 papers), Allergic Rhinitis and Sensitization (1 paper), Acute Ischemic Stroke Management (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Immunology (162 citations), Parasitology (23 citations), Transplantation (9 citations), Genetics (63 citations) and Hematology (25 citations). David Guzman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Bodo Grimbacher, Gerhard Kindle, Viviane Knerr, Benjamin Gathmann, Sarita Workman, Daniel Veit, Siobhan O. Burns, Defne Yigci, Merve Eryılmaz and Rachel A. McKendry. Their work appears in journals such as Journal of Avian Medicine and Surgery, Bioinformatics, Frontiers in Immunology, Clinical & Experimental Immunology and Nature Communications.

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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