Benjamin D. Schwartz

5.1k total citations
91 papers, 3.8k citations indexed

About

Benjamin D. Schwartz is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Benjamin D. Schwartz has authored 91 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 46 papers in Immunology and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Benjamin D. Schwartz's work include Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (24 papers) and T-cell and B-cell Immunology (22 papers). Benjamin D. Schwartz is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (31 papers), Glycosylation and Glycoproteins Research (24 papers) and T-cell and B-cell Immunology (22 papers). Benjamin D. Schwartz collaborates with scholars based in United States, Sweden and United Kingdom. Benjamin D. Schwartz's co-authors include Susan E. Cullen, Howard B. Dickler, Carol Cowing, Stanley G. Nathenson, Robert W. Karr, L. Mengle-Gaw, S E Cullen, Andrea J. Sant, Peter C. Isakson and Frank L. Lanza and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Benjamin D. Schwartz

89 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin D. Schwartz United States 34 1.6k 1.1k 775 412 397 91 3.8k
Pierre Graber Switzerland 34 2.2k 1.3× 1.5k 1.4× 521 0.7× 397 1.0× 284 0.7× 87 4.7k
D.R. Stanworth United Kingdom 30 1.5k 1.0× 1.8k 1.6× 1.6k 2.0× 476 1.2× 128 0.3× 141 4.1k
J J Oppenheim United States 34 2.5k 1.5× 1.2k 1.0× 495 0.6× 193 0.5× 156 0.4× 46 4.7k
Christoph Heusser Switzerland 41 4.5k 2.8× 1.5k 1.4× 1.1k 1.4× 631 1.5× 216 0.5× 114 8.2k
Helmut Rumpold Austria 41 1.0k 0.6× 1.1k 1.0× 672 0.9× 270 0.7× 93 0.2× 113 6.1k
Olof Sjöberg Sweden 34 2.0k 1.2× 755 0.7× 572 0.7× 260 0.6× 66 0.2× 82 4.0k
Jack Silver United States 43 3.7k 2.3× 1.4k 1.2× 1.2k 1.6× 213 0.5× 131 0.3× 124 5.6k
Nadine L. Dudek Australia 26 2.3k 1.4× 900 0.8× 412 0.5× 449 1.1× 333 0.8× 42 3.9k
Otto Götze Germany 46 4.2k 2.6× 1.3k 1.1× 680 0.9× 372 0.9× 194 0.5× 132 6.4k
Henry J. Showell United States 39 2.8k 1.7× 2.4k 2.1× 257 0.3× 224 0.5× 459 1.2× 86 6.1k

Countries citing papers authored by Benjamin D. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin D. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin D. Schwartz. 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 Benjamin D. Schwartz. The network helps show where Benjamin D. Schwartz may publish in the future.

Co-authorship network of co-authors of Benjamin D. Schwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin D. Schwartz. A scholar is included among the top collaborators of Benjamin D. Schwartz 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 Benjamin D. Schwartz. Benjamin D. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kremer, Joel M., Karen S. Kolba, Jeffrey Kaine, et al.. (2003). Tacrolimus in rheumatoid arthritis patients receiving concomitant methotrexate. Arthritis & Rheumatism. 48(10). 2763–2768. 54 indexed citations
2.
3.
Woulfe, Susan L., Christine P. Bono, Dawn A. Kirschmann, et al.. (1995). Negatively charged residues interacting with the p4 pocket confer binding specificity to DRB1*0401. Arthritis & Rheumatism. 38(12). 1744–1753. 26 indexed citations
4.
Kirschmann, D A, et al.. (1995). Utilization of soluble fusion proteins for induction of T cell proliferation. Cellular Immunology. 160(2). 193–198. 3 indexed citations
5.
Bono, Christine P., Susan L. Woulfe, Christopher J. Swearingen, et al.. (1995). Pocket 4 of the HLA-DR(α,β 1*0401) molecule is a major determinant of T cells recognition of peptide.. The Journal of Experimental Medicine. 181(3). 915–926. 93 indexed citations
6.
Ting, Jenny P.‐Y., Audrey A. Painter, Nancy J. Zeleznik‐Le, et al.. (1994). YB-1 DNA-binding protein represses interferon gamma activation of class II major histocompatibility complex genes.. The Journal of Experimental Medicine. 179(5). 1605–1611. 80 indexed citations
7.
Schwartz, Benjamin D., et al.. (1993). Mixed haplotypes and autoimmunity. Immunology Today. 14(2). 53–56. 43 indexed citations
8.
Lutz, Charles T., et al.. (1990). Multiple mechanisms produce diversity of HLA-C Alleles. Human Immunology. 28(1). 27–31. 11 indexed citations
9.
10.
Schwartz, Benjamin D.. (1990). Infectious agents, immunity, and rheumatic diseases. Arthritis & Rheumatism. 33(4). 457–465. 22 indexed citations
11.
Giacoletto, K S, et al.. (1989). Chapter 8 Glycosaminoglycan Modifications of Membrane Proteins. Methods in cell biology. 32. 207–230. 2 indexed citations
12.
Schiffenbauer, Joel, et al.. (1989). A unique sequence of the NZW I-E beta chain and its possible contribution to autoimmunity in the (NZB x NZW)F1 mouse.. The Journal of Experimental Medicine. 170(3). 971–984. 19 indexed citations
13.
Schwartz, Benjamin D.. (1988). Diversity and regulation of expression of human leukocyte antigen class II molecules. The American Journal of Medicine. 85(6). 6–8. 5 indexed citations
14.
Crimmins, Dan L., et al.. (1988). Peptide characterization with a sulfoethyl aspartamide column. Journal of Chromatography A. 443. 63–71. 49 indexed citations
15.
Sant, Andrea J., S E Cullen, K S Giacoletto, & Benjamin D. Schwartz. (1985). Invariant chain is the core protein of the Ia-associated chondroitin sulfate proteoglycan.. The Journal of Experimental Medicine. 162(6). 1916–1934. 71 indexed citations
16.
Sant, Andrea J., S E Cullen, & Benjamin D. Schwartz. (1985). Biosynthetic relationships of the chondroitin sulfate proteoglycan with Ia and invariant chain glycoproteins.. The Journal of Immunology. 135(1). 416–422. 37 indexed citations
17.
Karr, Robert W., et al.. (1983). An HLA-DR5 homozygous cell line expresses two DS (I-A-like) molecules.. The Journal of Experimental Medicine. 158(4). 1374–1379. 33 indexed citations
18.
Pierce, Carl W., et al.. (1983). Ir genes New tests of familiar arguments. Immunology Today. 4(1). 1–4. 7 indexed citations
19.
Schwartz, Benjamin D., et al.. (1979). Public antigenic determinant on a family of HLA-B molecules.. Journal of Clinical Investigation. 64(4). 938–947. 54 indexed citations
20.
Cowing, Carol, Benjamin D. Schwartz, & Howard B. Dickler. (1978). Macrophage Ia antigens. I. macrophage populations differ in their expression of Ia antigens.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 120(2). 378–84. 208 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.

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