Howard Dang

1.4k citations
40 papers · 1.1k · h-index 19

Impact in

Papers in

    • Salivary Gland Disorders and Functions 13
    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Galectins and Cancer Biology 3
    • Immune Response and Inflammation 3

Howard Dang

40 papers receiving 1.1k citations

Peers

Howard Dang
Comparison fields: 5 of 86
  • Physiology 442
  • Periodontics 75
  • Immunology 353
  • Rheumatology 193
  • Radiology, Nuclear Medicine and Imaging 151
Replace Laëtitia Le Pottier with:
Laëtitia Le Pottier France
Christopher J. Lessard United States
Paola Pérez United States
Alexander Espinosa Sweden
Adrianos Nezos Greece
Cuong Q. Nguyen United States
Elena Pontarini United Kingdom
Toru Nakabayashi Japan
Yoshiro Horai Japan
Peter Middel Germany
Howard Dang relative to Laëtitia Le Pottier France Laëtitia Le Pottier's profile →
Citations per field
00.5×1.7×
Laëtitia Le Pottier · 1×
Citations per year

Countries citing papers authored by Howard Dang

Since Specialization
Citations

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

Fields of papers citing papers by Howard Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997186
2 1990168
3 200897
4 199865
5 198461
6 199247
7 199542
8 199538
9 200835
10 200932
11 199630
12 199228
13 199826
14 200125
15 201223
16 200822
17 199821
18 201019
19 200519
20 201315

About Howard Dang

Howard Dang is a scholar working on Physiology, Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (13 papers), T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Glycosylation and Glycoproteins Research (3 papers), Galectins and Cancer Biology (3 papers), Cell death mechanisms and regulation (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Physiology (442 citations), Periodontics (75 citations), Immunology (353 citations), Rheumatology (193 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Howard Dang has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Norman Talal, Noriyoshi Ogawa, N Talal, Liping Kong, Michael J. Dauphinée, H. Stan McGuff, Toru Nakabayashi, Ronald J. Harbeck, Steve S. Alexander and Darrenn J. Hart. Their work appears in journals such as Journal of Autoimmunity, Cellular Immunology, PLoS ONE, European Journal of Immunology and American Journal of Physiology-Cell 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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