DAVID R. BARD

543 citations
27 papers · 482 · h-index 11

Impact in

Papers in

DAVID R. BARD

25 papers receiving 420 citations

Peers

DAVID R. BARD
Comparison fields: 5 of 83
  • Rheumatology 129
  • Immunology and Allergy 28
  • Cell Biology 52
  • Radiology, Nuclear Medicine and Imaging 65
  • Pharmacology 47
Replace K Trnavský with:
K Trnavský Slovakia
Michel Richard France
Hisashi Oku Japan
E. J. Lewis United Kingdom
Shan Cheng China
G. Giuberti Italy
H Hojo Japan
Brian Astry United States
S.H. Madsen Denmark
Jenn-Haung Lai Taiwan
DAVID R. BARD relative to K Trnavský Slovakia K Trnavský's profile →
Citations per field
00.5×2×3×4×
K Trnavský · 1×
Citations per year

Countries citing papers authored by DAVID R. BARD

Since Specialization
Citations

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

Fields of papers citing papers by DAVID R. BARD

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DAVID R. BARD. 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 R. BARD. The network helps show where DAVID R. BARD may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987108
2 199351
3 199248
4 197238
5 198738
6 199637
7 197728
8 197723
9 199016
10
Effect of the intra-articular injection of lutetium-177 in chelator liposomes on the progress of an experimental arthritis in rabbits.
198515
11
The retention and distribution in the rabbit knee of a radionuclide complexed with a lipophilic chelator in liposomes.
198513
12 19939
13 19959
14 19717
15 19797
16 19856
17 19744
18 19754
19 19894
20 19924

About DAVID R. BARD

DAVID R. BARD is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Allergy and Cell Biology, having authored 27 papers that have together received 482 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Chemical Synthesis and Analysis (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Orthopedic Infections and Treatments (3 papers), melanin and skin pigmentation (2 papers), Computational Drug Discovery Methods (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Rheumatology (129 citations), Immunology and Allergy (28 citations), Cell Biology (52 citations), Radiology, Nuclear Medicine and Imaging (65 citations) and Pharmacology (47 citations). DAVID R. BARD has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Brett King, John T. Dingle, David Morgan Thomas, Christopher G. Knight, Ilse Lasnitzki, E. P. Wraight, Amitava Dasgupta, Walter B. Blackwell, Audrey U. Smith and Michael J. Dickens. Their work appears in journals such as British Journal of Cancer, Annals of the New York Academy of Sciences, Journal of Endocrinology, Annals of the Rheumatic Diseases and Therapeutic Drug Monitoring.

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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