J. Goldstein

112.1k total citations
64 papers, 1.5k citations indexed

About

J. Goldstein is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Goldstein has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Nuclear and High Energy Physics and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Goldstein's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Particle physics theoretical and experimental studies (10 papers) and Particle Detector Development and Performance (10 papers). J. Goldstein is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Particle physics theoretical and experimental studies (10 papers) and Particle Detector Development and Performance (10 papers). J. Goldstein collaborates with scholars based in United States, United Kingdom and Switzerland. J. Goldstein's co-authors include Masayori Inouye, J. Michael Lane, Rahul Srivastava, Tibor Keler, Jingming Zhang, Ming-Ching Hsieh, Laura Vitale, Paul K. Wallace, Joseph M. Gennity and Mingzhu Yang and has published in prestigious journals such as Physical Review Letters, Journal of Biological Chemistry and Blood.

In The Last Decade

J. Goldstein

60 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Goldstein United States 21 751 446 333 220 168 64 1.5k
Matthias Görlach Germany 31 2.3k 3.1× 218 0.5× 222 0.7× 217 1.0× 227 1.4× 103 3.3k
J Ruppert United States 14 603 0.8× 1.2k 2.6× 259 0.8× 192 0.9× 92 0.5× 25 1.9k
N. Koch Germany 22 519 0.7× 1.1k 2.5× 310 0.9× 114 0.5× 95 0.6× 42 1.6k
Mark A. Daniëls United States 31 1.1k 1.4× 2.0k 4.6× 235 0.7× 760 3.5× 146 0.9× 81 3.5k
Mats Wikström Sweden 29 1.4k 1.8× 257 0.6× 577 1.7× 187 0.8× 109 0.6× 77 2.3k
Jörn M. Werner United Kingdom 22 1.1k 1.4× 286 0.6× 147 0.4× 145 0.7× 376 2.2× 43 2.0k
Jean‐Pierre Martin France 22 402 0.5× 135 0.3× 105 0.3× 409 1.9× 117 0.7× 80 1.7k
Philippe Barthe France 25 1.4k 1.8× 138 0.3× 286 0.9× 556 2.5× 191 1.1× 91 2.6k
Michael Konrad United States 24 823 1.1× 387 0.9× 128 0.4× 312 1.4× 317 1.9× 72 1.8k
David Filpula United States 18 1.7k 2.3× 263 0.6× 789 2.4× 328 1.5× 132 0.8× 26 2.5k

Countries citing papers authored by J. Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by J. Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of J. Goldstein. A scholar is included among the top collaborators of J. Goldstein 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 J. Goldstein. J. Goldstein 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.
Murphy, Miles, Laura Vitale, Thomas J. O’Neill, et al.. (2025). Dual Inhibition of Mast Cells and Thymic Stromal Lymphopoietin Using a Novel Bispecific Antibody, CDX ‐622. Allergy. 80(11). 3115–3126. 2 indexed citations
2.
Alvarado, Diego, Laura Vitale, Michael Murphy, et al.. (2023). Dual targeting of mast cells and TSLP with a bispecific antibody. The Journal of Immunology. 210(Supplement_1). 246.07–246.07. 1 indexed citations
3.
Alvarado, Diego, Marcus Maurer, Richard Gedrich, et al.. (2022). Anti‐KIT monoclonal antibody CDX‐0159 induces profound and durable mast cell suppression in a healthy volunteer study. Allergy. 77(8). 2393–2403. 62 indexed citations
4.
Vitale, Laura, Lawrence J. Thomas, Li-Zhen He, et al.. (2018). Development of CDX-1140, an agonist CD40 antibody for cancer immunotherapy. Cancer Immunology Immunotherapy. 68(2). 233–245. 39 indexed citations
5.
Wasiuk, Anna, James Testa, Laura Vitale, et al.. (2017). CD27-Mediated Regulatory T Cell Depletion and Effector T Cell Costimulation Both Contribute to Antitumor Efficacy. The Journal of Immunology. 199(12). 4110–4123. 40 indexed citations
6.
Zhang, Jingming, et al.. (2012). Effect of Polysorbate 80 Quality on Photostability of a Monoclonal Antibody. AAPS PharmSciTech. 13(2). 422–430. 78 indexed citations
7.
Maity, Haripada, et al.. (2009). Effects of Arginine on Photostability and Thermal Stability of IgG1 Monoclonal Antibodies. Current Pharmaceutical Biotechnology. 10(8). 761–766. 43 indexed citations
8.
Acosta, D., et al.. (2005). Measurement of the W + W - production cross section in p anti- p collisions sqrt[ s ] =1.96-TeV using dilepton events. Physical Review Letters. 94. 1–8. 41 indexed citations
9.
Goldstein, J., et al.. (2004). Search for B0s → μ+ μ- and B0d μ+μ- decays in p anti-p collisions at sqrt[s] = 1.96 TeV. Physical Review Letters. 93. 1–15. 9 indexed citations
10.
Ramakrishna, Venky, Jack Treml, Laura Vitale, et al.. (2004). Mannose Receptor Targeting of Tumor Antigen pmel17 to Human Dendritic Cells Directs Anti-Melanoma T Cell Responses via Multiple HLA Molecules. The Journal of Immunology. 172(5). 2845–2852. 97 indexed citations
11.
Acosta, D., et al.. (2003). Search for long lived charged massive particles in anti- p p collisions at sqrt[ s ] = 1.8-TeV. Physical Review Letters. 90. 1–14. 9 indexed citations
12.
Goldstein, J., et al.. (2003). Measurement of the mass difference m ( D ( s )+) m ( D +) at CDF2. High-Energy Physics Literature Database (CERN, DESY, Fermilab, IHEP, and SLAC). 68. 1–24. 1 indexed citations
13.
Lane, J. Michael & J. Goldstein. (2003). Adverse events occurring after smallpox vaccination. Seminars in Pediatric Infectious Diseases. 14(3). 189–195. 40 indexed citations
14.
Goldstein, J., et al.. (2002). Cross section for forwardJ/Ψ production in p anti-p collisions at sqrt[s]=1.8 TeV. Physical Review D. 66. 1–11. 11 indexed citations
15.
Goldstein, J., C. Hill, J. Incandela, et al.. (2001). pp¯→tt¯H: A Discovery Mode for the Higgs Boson at the Fermilab Tevatron. Physical Review Letters. 86(9). 1694–1697. 33 indexed citations
16.
Wallace, Paul K., Kwong Y. Tsang, J. Goldstein, et al.. (2001). Exogenous antigen targeted to FcγRI on myeloid cells is presented in association with MHC class I. Journal of Immunological Methods. 248(1-2). 183–194. 46 indexed citations
17.
Hudkins, Robert L., Mohamed Iqbal, J. Goldstein, et al.. (1998). Prodrug esters of the indolocarbazole CEP-751 (KT-6587). Bioorganic & Medicinal Chemistry Letters. 8(14). 1873–1876. 13 indexed citations
18.
Guyre, Paul M., Robert F. Graziano, J. Goldstein, et al.. (1997). Increased potency of Fc-receptor-targeted antigens. Cancer Immunology Immunotherapy. 45(3-4). 146–148. 59 indexed citations
19.
Gennity, Joseph M., J. Goldstein, & Masayori Inouye. (1990). Signal peptide mutants ofEscherichia coli. Journal of Bioenergetics and Biomembranes. 22(3). 233–269. 75 indexed citations
20.
Moroz, C., Yaël C. Cohen, Javad Khodadadi, et al.. (1989). Radioimmunodetection of Tumors with Monoclonal Antiplacental Ferritin Antibody: Preliminary Results. Oncology. 46(1). 35–39. 2 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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