Jonathan Graf

2.2k citations
42 papers · 1.3k · h-index 22

Impact in

    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research
    • Spondyloarthritis Studies and Treatments
  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis

Papers in

Jonathan Graf

42 papers receiving 1.3k citations

Peers

Jonathan Graf
Comparison fields: 5 of 105
  • Rheumatology 579
  • Toxicology 108
  • Hematology 87
  • Immunology 133
  • Pharmacology 101
Replace Douglas K. Heilman with:
Douglas K. Heilman United States
Leticia León Spain
J. W. G. Jacobs Netherlands
Velja Mijatovic Netherlands
Fabio Castiglione Italy
Sofia Pedro United States
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R Trèves France
Samantha Hider United Kingdom
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Citations per field
00.5×10.8×
Douglas K. Heilman · 1×
Citations per year

Countries citing papers authored by Jonathan Graf

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010157
2 2010148
3 201177
4 200967
5 201166
6 200965
7 201461
8 201759
9 201352
10 201243
11 201142
12
Intra-articular treatment with hyaluronic acid in osteoarthritis of the knee joint: a controlled clinical trial versus mucopolysaccharide polysulfuric acid ester.
199341
13 201739
14 201738
15 201438
16 201732
17 201829
18 201527
19 201227
20 201325

About Jonathan Graf

Jonathan Graf is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Immunology, Pulmonary and Respiratory Medicine and Toxicology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (19 papers), Forensic Toxicology and Drug Analysis (4 papers), Blood disorders and treatments (4 papers), Vasculitis and related conditions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Systemic Lupus Erythematosus Research (3 papers), Bone and Joint Diseases (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Rheumatology (579 citations), Toxicology (108 citations), Hematology (87 citations), Immunology (133 citations) and Pharmacology (101 citations). Jonathan Graf has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include John B. Imboden, Jennifer L. Barton, Mary Margaretten, Edward H. Yelin, Dean Schillinger, Laura Trupin, Patricia Katz, Laura Julián, Chris Tonner and David V. Glidden. Their work appears in journals such as Arthritis Care & Research, Annals of the Rheumatic Diseases, Arthritis & Rheumatology, Medicine and Arthritis Research & Therapy.

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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