T E Hugli

1.1k citations
17 papers · 913 · h-index 14

Impact in

  • Immunology top 5%
    • Complement system in diseases
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Cell Adhesion Molecules Research

Papers in

    • Complement system in diseases 9
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Mast cells and histamine 2
    • Immune Response and Inflammation 2

T E Hugli

17 papers receiving 841 citations

Peers

T E Hugli
Comparison fields: 5 of 87
  • Immunology 465
  • Immunology and Allergy 89
  • Hematology 148
  • Genetics 112
  • Microbiology 32
Replace T Akabane with:
T Akabane Japan
Joe O. Minta Canada
William D. Ratnoff United States
M.A. Gross United States
Eveliina Ihanus Finland
M Möhler United States
B. Damerau Germany
Neil Williams Australia
MA Lichtman United States
R J Smeenk Netherlands
T E Hugli relative to T Akabane Japan T Akabane's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by T E Hugli

Since Specialization
Citations

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

Fields of papers citing papers by T E Hugli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1990124
2 1979115
3 1979111
4 1983108
5 197791
6 199288
7 198576
8
C5a-induced neutrophilia. A primary humoral mechanism for recruitment of neutrophils.
199038
9 199432
10 198927
11 198127
12 197522
13 198217
14 198713
15 199212
16 20118
17 19894

About T E Hugli

T E Hugli is a scholar working on Immunology, Molecular Biology, Genetics, Hematology and Physiology, having authored 17 papers that have together received 913 indexed citations. Recurring topics across this work include Complement system in diseases (9 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Asthma and respiratory diseases (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Mast cells and histamine (2 papers), Blood disorders and treatments (2 papers), Cell Adhesion Molecules Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (465 citations), Immunology and Allergy (89 citations), Hematology (148 citations), Genetics (112 citations) and Microbiology (32 citations). T E Hugli has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Clemens A. Dahinden, P C Harpel, Jack Gorski, Hans J. Müller‐Eberhard, J Fehr, Jane Taylor, Irving P. Crawford, Mark D. Smith, Daniel J. Noonan and Wolfgang Scholz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Journal of Biological Chemistry, The Journal of Immunology and Current Opinion in 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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