David H. Margulies

11.3k total citations · 2 hit papers
179 papers, 9.4k citations indexed

About

David H. Margulies is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, David H. Margulies has authored 179 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Immunology, 58 papers in Radiology, Nuclear Medicine and Imaging and 49 papers in Molecular Biology. Recurrent topics in David H. Margulies's work include Immune Cell Function and Interaction (95 papers), T-cell and B-cell Immunology (95 papers) and Immunotherapy and Immune Responses (65 papers). David H. Margulies is often cited by papers focused on Immune Cell Function and Interaction (95 papers), T-cell and B-cell Immunology (95 papers) and Immunotherapy and Immune Responses (65 papers). David H. Margulies collaborates with scholars based in United States, Japan and Israel. David H. Margulies's co-authors include Ronald N. Germain, Kannan Natarajan, Lisa F. Boyd, Matthew D. Scharff, Roy A. Mariuzza, Malcolm L. Gefter, Glen A. Evans, J G Seidman, Steven Kozlowski and Maripat Corr and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David H. Margulies

173 papers receiving 9.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Biochemistry and Cell Biology of Antigen Processing and Presentation

1993 857 citations Ronald N. Germain, David H. Margulies profile →
A simple method for polyethylene glycol-promoted hybridization of mouse myeloma cells

1977 533 citations David H. Margulies et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David H. Margulies United States	54	6.9k	2.9k	1.8k	1.0k	906	179	9.4k
John E. Coligan United States	56	6.1k 0.9×	2.3k 0.8×	1.5k 0.8×	1.3k 1.3×	952 1.1×	186	9.1k
Olaf Rötzschke Germany	42	6.8k 1.0×	2.8k 1.0×	1.1k 0.6×	1.2k 1.1×	1.1k 1.2×	104	9.3k
Kirsten Falk Germany	39	7.0k 1.0×	2.8k 1.0×	1.2k 0.7×	1.1k 1.0×	999 1.1×	75	8.8k
Susan K. Pierce United States	53	5.8k 0.8×	3.1k 1.1×	1.2k 0.6×	650 0.6×	815 0.9×	154	9.5k
Yueh‐hsiu Chien United States	46	6.5k 0.9×	1.9k 0.7×	1.5k 0.8×	1.5k 1.5×	641 0.7×	78	8.7k
J L Strominger United States	51	6.4k 0.9×	3.1k 1.1×	1.8k 1.0×	1.1k 1.0×	989 1.1×	101	9.9k
H M Grey United States	48	6.5k 0.9×	3.0k 1.0×	2.4k 1.3×	745 0.7×	1.2k 1.3×	92	8.6k
Ellen S. Vitetta United States	58	6.9k 1.0×	3.7k 1.3×	3.3k 1.8×	1.9k 1.9×	659 0.7×	250	11.4k
Joan C. Gorga United States	28	5.8k 0.9×	2.5k 0.9×	1.9k 1.0×	420 0.4×	640 0.7×	40	8.2k
Mark A. Saper United States	30	6.4k 0.9×	4.7k 1.6×	1.5k 0.8×	654 0.6×	636 0.7×	51	10.7k

Countries citing papers authored by David H. Margulies

Since Specialization

Citations

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

Fields of papers citing papers by David H. Margulies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Margulies. 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 H. Margulies. The network helps show where David H. Margulies may publish in the future.

Co-authorship network of co-authors of David H. Margulies

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Margulies. A scholar is included among the top collaborators of David H. Margulies 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 David H. Margulies. David H. Margulies 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:

20 of 20 papers shown

Margulies, David H., Jiansheng Jiang, Javeed Ahmad, Lisa F. Boyd, & Kannan Natarajan. (2023). Chaperone function in antigen presentation by MHC class I molecules—tapasin in the PLC and TAPBPR beyond. Frontiers in Immunology. 14. 1179846–1179846. 8 indexed citations

Jiang, Jiansheng, Kannan Natarajan, Lisa F. Boyd, et al.. (2017). Crystal structure of a TAPBPR–MHC I complex reveals the mechanism of peptide editing in antigen presentation. Science. 358(6366). 1064–1068. 93 indexed citations

Morozov, Giora I., Huaying Zhao, Michael G. Mage, et al.. (2016). Interaction of TAPBPR, a tapasin homolog, with MHC-I molecules promotes peptide editing. Proceedings of the National Academy of Sciences. 113(8). E1006–15. 68 indexed citations

Sgourakis, Nikolaos G., et al.. (2015). A Novel MHC-I Surface Targeted for Binding by the MCMV m06 Immunoevasin Revealed by Solution NMR. Journal of Biological Chemistry. 290(48). 28857–28868. 9 indexed citations

Yokoyama, Wayne M., Amy Reichlin, David H. Margulies, & Hamish R.C. Smith. (2015). MHC Class I-Dependent and -Independent NK Cell Specificity. Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy. 64. 1–18.

Mage, Michael G., Michael Dolan, Rui Wang, et al.. (2012). The Peptide-Receptive Transition State of MHC Class I Molecules: Insight from Structure and Molecular Dynamics. The Journal of Immunology. 189(3). 1391–1399. 55 indexed citations

Tilahun, Mulualem E., Alan C. Kwan, Kannan Natarajan, et al.. (2011). Chimeric Anti-Staphylococcal Enterotoxin B Antibodies and Lovastatin Act Synergistically to Provide In Vivo Protection against Lethal Doses of SEB. PLoS ONE. 6(11). e27203–e27203. 12 indexed citations

Wang, Rui, Kannan Natarajan, & David H. Margulies. (2009). Structural Basis of the CD8αβ/MHC Class I Interaction: Focused Recognition Orients CD8β to a T Cell Proximal Position. The Journal of Immunology. 183(4). 2554–2564. 87 indexed citations

Tang, Xiaobin, Sriram Narayanan, Giovanna Peruzzi, et al.. (2009). A Single Residue, Arginine 65, Is Critical for the Functional Interaction of Leukocyte-Associated Inhibitory Receptor-1 with Collagens. The Journal of Immunology. 182(9). 5446–5452. 26 indexed citations

10.

Mans, Janet, Zhi Li, L. M. Smith, et al.. (2008). Structure and function of murine cytomegalovirus MHC-I-like molecules: how the virus turned the host defense to its advantage. Immunologic Research. 43(1-3). 264–279. 13 indexed citations

11.

Mans, Janet, Kannan Natarajan, Andrea Balbo, et al.. (2007). Cellular Expression and Crystal Structure of the Murine Cytomegalovirus Major Histocompatibility Complex Class I-like Glycoprotein, m153. Journal of Biological Chemistry. 282(48). 35247–35258. 21 indexed citations

12.

Dam, Julie, R. Guan, K. Natarajan, et al.. (2003). VARIABLE MHC CLASS I ENGAGEMENT BY LY49 NATURAL KILLER CELL RECEPTORS DEMONSTRATED BY THE CRYSTAL STRUCTURE OF LY49C BOUND TO H-2K(B). Langmuir. 20.

13.

Takahashi, Megumi, Yohko Nakagawa, Jian Wang, et al.. (2002). Rapid Induction of Apoptosis in CD8+ HIV-1 Envelope-Specific Murine CTLs by Short Exposure to Antigenic Peptide. The Journal of Immunology. 169(11). 6588–6593. 22 indexed citations

14.

Derby, Michael A., Jian Wang, David H. Margulies, & Jay A. Berzofsky. (2001). Two intermediate-avidity cytotoxic T lymphocyte clones with a disparity between functional avidity and MHC tetramer staining. International Immunology. 13(6). 817–824. 55 indexed citations

15.

Chung, Doo Hyun, Igor M. Belyakov, Michael A. Derby, et al.. (2001). Competitive Inhibition In Vivo and Skewing of the T Cell Repertoire of Antigen-Specific CTL Priming by an Anti-Peptide-MHC Monoclonal Antibody. The Journal of Immunology. 167(2). 699–707. 8 indexed citations

16.

Poláková, K, Daniel Plaksin, Doo Hyun Chung, et al.. (2000). Antibodies Directed Against the MHC-I Molecule H-2Dd Complexed with an Antigenic Peptide: Similarities to a T Cell Receptor with the Same Specificity. The Journal of Immunology. 165(10). 5703–5712. 27 indexed citations

17.

Margulies, David H.. (1997). Interactions of TCRs with MHC-peptide complexes: a quantitative basis for mechanistic models. Current Opinion in Immunology. 9(3). 390–395. 51 indexed citations

18.

Corr, Maripat, Lisa F. Boyd, Sam Frankel, et al.. (1992). Endogenous peptides of a soluble major histocompatibility complex class I molecule, H-2Lds: sequence motif, quantitative binding, and molecular modeling of the complex.. The Journal of Experimental Medicine. 176(6). 1681–1692. 132 indexed citations

19.

Kozlowski, Steven, Maripat Corr, Toshiyuki Takeshita, et al.. (1992). Serum angiotensin-1 converting enzyme activity processes a human immunodeficiency virus 1 gp160 peptide for presentation by major histocompatibility complex class I molecules.. The Journal of Experimental Medicine. 175(6). 1417–1422. 100 indexed citations

20.

McCluskey, James, T I Munitz, Lisa F. Boyd, et al.. (1988). Cell surface expression of the amino-terminal domain of A kappa alpha. Recognition of an isolated MHC antigenic structure by allospecific T cells but not alloantibodies.. The Journal of Immunology. 140(6). 2081–2089. 9 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