David Hum

1.2k citations
15 papers · 630 · h-index 11

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

David Hum

15 papers receiving 614 citations

Peers

David Hum
Comparison fields: 5 of 66
  • Rheumatology 259
  • Cancer Research 177
  • Cardiology and Cardiovascular Medicine 91
  • Molecular Biology 281
  • Pharmacology 43
Replace Sho Matsuyama with:
Sho Matsuyama Japan
Kitipong Uaesoontrachoon United States
Michel Campan France
Céline Loinard France
Callie Kwartler United States
Chin-Jung Hsu Taiwan
Oak D. Jo United States
Carolin Schmittwolf Germany
Jiyeon Han South Korea
An O. Van Laer United States
David Hum relative to Sho Matsuyama Japan Sho Matsuyama's profile →
Citations per field
00.5×7.4×
Sho Matsuyama · 1×
Citations per year

Countries citing papers authored by David Hum

Since Specialization
Citations

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

Fields of papers citing papers by David Hum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2009204
2 2002100
3 200477
4 201360
5 201644
6 201232
7 200424
8 200822
9 200318
10 200618
11 201410
12 201610
13 20028
14 20152
15 20001

About David Hum

David Hum is a scholar working on Rheumatology, Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology, having authored 15 papers that have together received 630 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (5 papers), Heart Failure Treatment and Management (4 papers), Axon Guidance and Neuronal Signaling (3 papers), Vitamin K Research Studies (1 paper), Coenzyme Q10 studies and effects (1 paper), Silicon and Solar Cell Technologies (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Phosphodiesterase function and regulation (1 paper). The work is most often cited by research in Rheumatology (259 citations), Cancer Research (177 citations), Cardiology and Cardiovascular Medicine (91 citations), Molecular Biology (281 citations) and Pharmacology (43 citations). David Hum has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Ginette Tardif, Johanne Martel‐Pelletier, Jean‐Pierre Pelletier, Nicolas Duval, Johanne Tremblay, Pavel Hamet, Jolanta Gutkowska, Mohit Kapoor, Hassan Fahmi and Johanne Martel‐Pelletier. Their work appears in journals such as Arthritis Research & Therapy, Annals of the Rheumatic Diseases, Hypertension, American Journal Of Pathology and Molecular and Cellular Biochemistry.

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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