John F. Scavulli

464 total citations
9 papers, 369 citations indexed

About

John F. Scavulli is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, John F. Scavulli has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in John F. Scavulli's work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). John F. Scavulli is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). John F. Scavulli collaborates with scholars based in United States, Netherlands and Italy. John F. Scavulli's co-authors include Richard Dutton, Salvatore Albani, Charles C. Berry, Paola Lanza, Diane Amox, Ismé de Kleer, Berent J. Prakken, Rosario Billetta, Francesca Giannoni and Tho Le and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

John F. Scavulli

9 papers receiving 350 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John F. Scavulli United States	8	187	95	73	49	38	9	369
G. Servais Belgium	12	125 0.7×	115 1.2×	85 1.2×	80 1.6×	33 0.9×	19	389
E. Ohayon France	12	184 1.0×	68 0.7×	34 0.5×	29 0.6×	53 1.4×	44	469
R W Janson United States	6	227 1.2×	81 0.9×	32 0.4×	20 0.4×	31 0.8×	6	371
Youna Kang United States	9	246 1.3×	183 1.9×	88 1.2×	26 0.5×	19 0.5×	16	421
R G Lahita United States	5	139 0.7×	38 0.4×	167 2.3×	33 0.7×	21 0.6×	7	320
Kristi L. Rupert United States	6	282 1.5×	113 1.2×	91 1.2×	31 0.6×	23 0.6×	7	446
ANNETTE R. MILLER United States	5	227 1.2×	47 0.5×	30 0.4×	31 0.6×	67 1.8×	7	406
H Suzuki Japan	11	203 1.1×	54 0.6×	111 1.5×	64 1.3×	5 0.1×	34	386
M. Burnet	4	120 0.6×	46 0.5×	36 0.5×	31 0.6×	27 0.7×	4	372
Elizabeth R. Richens United Kingdom	10	132 0.7×	21 0.2×	69 0.9×	22 0.4×	15 0.4×	36	314

Countries citing papers authored by John F. Scavulli

Since Specialization

Citations

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

Fields of papers citing papers by John F. Scavulli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Scavulli. 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 John F. Scavulli. The network helps show where John F. Scavulli may publish in the future.

Co-authorship network of co-authors of John F. Scavulli

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Scavulli. A scholar is included among the top collaborators of John F. Scavulli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John F. Scavulli. John F. Scavulli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Terkeltaub, Robert, et al.. (2009). Gout Study Group: Update on hyperuricemia and gout. Joint Bone Spine. 76(4). 444–446. 21 indexed citations

2.

Prakken, Berent J., Tho Le, Francesca Giannoni, et al.. (2004). Epitope-specific immunotherapy induces immune deviation of proinflammatory T cells in rheumatoid arthritis. Proceedings of the National Academy of Sciences. 101(12). 4228–4233. 175 indexed citations

3.

Scavulli, John F., et al.. (1999). Isolation of an IgG monoclonal anti-dnaJ antibody from an immunoglobulin combinatorial library from a patient with rheumatoid arthritis.. PubMed. 26(7). 1439–45. 8 indexed citations

4.

Cava, Antonio La, J. Lee Nelson, William Ollier, et al.. (1997). Genetic bias in immune responses to a cassette shared by different microorganisms in patients with rheumatoid arthritis.. Journal of Clinical Investigation. 100(3). 658–663. 58 indexed citations

5.

Kaplan, Roy A., et al.. (1980). Propranolol and the treatment of rheumatoid arthritis. Arthritis & Rheumatism. 23(2). 253–255. 36 indexed citations

6.

Scavulli, John F., et al.. (1978). Independent Analysis of T Helper and T Killer Cell Function in Young and Old NZB Mice. The Journal of Immunology. 121(3). 897–902. 16 indexed citations

7.

Resnick, Donald, John F. Scavulli, Thomas G. Goergen, Harry K. Genant, & Gen Niwayama. (1977). Intra-articular Calcification in Scleroderma. Radiology. 124(3). 685–688. 26 indexed citations

8.

Dutton, Richard & John F. Scavulli. (1975). Suppressor T cells in the regulation of the immune response.. PubMed. 17(3). 187–90. 3 indexed citations

9.

Scavulli, John F. & Richard Dutton. (1975). Competition between concanavalin A-induced stimulatory and inhibitory effects in the in vitro immune response to antigen.. The Journal of Experimental Medicine. 141(2). 524–529. 26 indexed citations

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.

Explore authors with similar magnitude of impact