Z A Nagy

794 total citations
25 papers, 669 citations indexed

About

Z A Nagy is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Z A Nagy has authored 25 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 13 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Molecular Biology. Recurrent topics in Z A Nagy's work include T-cell and B-cell Immunology (18 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Immune Cell Function and Interaction (12 papers). Z A Nagy is often cited by papers focused on T-cell and B-cell Immunology (18 papers), Monoclonal and Polyclonal Antibodies Research (13 papers) and Immune Cell Function and Interaction (12 papers). Z A Nagy collaborates with scholars based in Germany, Japan and Switzerland. Z A Nagy's co-authors include J Klein, C N Baxevanis, John P. Klein, Norihisa Ishii, Constantin N. Baxevanis, B E Elliott, Peter H. Krammer, Markus Nabholz, B Pernis and Luciano Adorini and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Z A Nagy

25 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Z A Nagy Germany 15 550 225 142 63 49 25 669
R J Hodes United States 14 557 1.0× 230 1.0× 163 1.1× 51 0.8× 55 1.1× 19 736
E M Rabin United States 8 498 0.9× 155 0.7× 96 0.7× 33 0.5× 69 1.4× 10 621
N T Jou United States 8 418 0.8× 341 1.5× 137 1.0× 40 0.6× 47 1.0× 9 631
Robert W. Knowles United States 13 365 0.7× 143 0.6× 93 0.7× 55 0.9× 38 0.8× 19 484
A M Kruisbeek United States 17 750 1.4× 151 0.7× 120 0.8× 69 1.1× 131 2.7× 26 903
D B Murphy United States 11 510 0.9× 174 0.8× 126 0.9× 45 0.7× 86 1.8× 17 642
Anne‐Marie Rijnbeek Netherlands 10 387 0.7× 137 0.6× 122 0.9× 36 0.6× 34 0.7× 14 503
J W Uhr United States 14 406 0.7× 150 0.7× 124 0.9× 24 0.4× 94 1.9× 26 590
Georg Malcherek Germany 14 585 1.1× 135 0.6× 189 1.3× 47 0.7× 79 1.6× 21 823
Jean‐Etienne Ryser Switzerland 6 440 0.8× 125 0.6× 76 0.5× 34 0.5× 88 1.8× 9 531

Countries citing papers authored by Z A Nagy

Since Specialization
Citations

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

Fields of papers citing papers by Z A Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Z A Nagy. 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 Z A Nagy. The network helps show where Z A Nagy may publish in the future.

Co-authorship network of co-authors of Z A Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Z A Nagy. A scholar is included among the top collaborators of Z A Nagy 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 Z A Nagy. Z A Nagy 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.
Raddrizzani, Laura, Tiziana Sturniolo, Jeanmarie Guenot, et al.. (1997). Different modes of peptide interaction enable HLA-DQ and HLA-DR molecules to bind diverse peptide repertoires. The Journal of Immunology. 159(2). 703–711. 50 indexed citations
2.
Lehmann, P., Klaus Drexler, Magdalena Tary‐Lehmann, et al.. (1991). Graft-versus-host resistance induced by class II major histocompatibility complex-specific T cell clones.. The Journal of Experimental Medicine. 173(2). 333–341. 6 indexed citations
3.
Tary‐Lehmann, Magdalena, A G Rolink, P. Lehmann, Z A Nagy, & U Hurtenbach. (1990). Induction of graft versus host-associated immunodeficiency by CD4+ T cell clones.. The Journal of Immunology. 145(7). 2092–2098. 22 indexed citations
4.
Adorini, Luciano, et al.. (1990). Selective in vivo inhibition of T cell activation by class II MHC-binding peptides administered in soluble form.. The Journal of Immunology. 145(12). 4006–4011. 24 indexed citations
5.
Lehmann, P., Georg Schumm, U Hurtenbach, et al.. (1990). Acute lethal graft-versus-host reaction induced by major histocompatibility complex class II-reactive T helper cell clones.. The Journal of Experimental Medicine. 171(5). 1485–1496. 29 indexed citations
6.
Sette, Alessandro, Luciano Adorini, Ettore Appella, et al.. (1989). Structural requirements for the interaction between peptide antigens and I-Ed molecules.. The Journal of Immunology. 143(10). 3289–3294. 60 indexed citations
7.
Matsunaga, Keiko, et al.. (1986). Complementation of class II A alleles in the immune response to (GluLysTyr) polymers.. PubMed. 3(1). 38–48. 1 indexed citations
8.
Klein, John P., et al.. (1985). Helper effects required during in vivo priming for a cytolytic response to the H-Y antigen in nonresponder mice.. The Journal of Immunology. 134(3). 1408–1414. 18 indexed citations
9.
Vidović, Damir, John P. Klein, & Z A Nagy. (1985). Recessive T cell response to poly (Glu50Tyr50) possibly caused by self tolerance.. The Journal of Immunology. 134(6). 3563–3568. 15 indexed citations
10.
Ikezawa, Zenrō, et al.. (1984). Manipulation of anti-LDH-B response by T suppressor factors.. The Journal of Immunology. 132(4). 1605–1607. 2 indexed citations
11.
Vidović, Damir, et al.. (1984). Qa-like genes defined by CTL analysis of B10.W lines.. The Journal of Immunology. 132(5). 2232–2236. 2 indexed citations
12.
Baxevanis, Constantin N., et al.. (1983). Evidence for two suppressor factors secreted by a single cell suggests a solution to the J-locus paradox.. Proceedings of the National Academy of Sciences. 80(21). 6637–6641. 28 indexed citations
13.
Raska, K, et al.. (1983). Frequency of responsiveness to the H-Y antigen among the B10.W lines.. The Journal of Immunology. 131(1). 325–328. 3 indexed citations
14.
Baxevanis, Constantin N., Makoto Nonaka, Ryo Abe, et al.. (1983). Monoclonal suppressor factor specific for lactate dehydrogenase B. I. Mechanism of interaction between the factor and its target cells.. The Journal of Experimental Medicine. 157(6). 1855–1866. 20 indexed citations
15.
Nagy, Z A, C N Baxevanis, & John P. Klein. (1983). Cross-reactivity of suppressor T cells specific for lactate dehydrogenase B and IgG2a myeloma protein.. The Journal of Immunology. 130(4). 1498–1499. 13 indexed citations
16.
Baxevanis, Constantin N., Norihisa Ishii, Z A Nagy, & J Klein. (1982). H-2-controlled suppression of T cell response to lactate dehydrogenase B. Characterization of the lactate dehydrogenase B suppressor pathway.. The Journal of Experimental Medicine. 156(3). 822–833. 66 indexed citations
17.
Ishii, Norihisa, C N Baxevanis, Z A Nagy, & J Klein. (1981). Responder T cells depleted of alloreactive cells react to antigen presented on allogeneic macrophages from nonresponder strains.. The Journal of Experimental Medicine. 154(3). 978–982. 79 indexed citations
18.
Baxevanis, C N, Z A Nagy, & John P. Klein. (1981). A novel type of T-T cell interaction removes the requirement for I-B region in the H-2 complex.. Proceedings of the National Academy of Sciences. 78(6). 3809–3813. 79 indexed citations
20.
Nagy, Z A, B E Elliott, Markus Nabholz, Peter H. Krammer, & B Pernis. (1976). Specific binding of alloantigens to T cells activated in the mixed lymphocyte reaction.. The Journal of Experimental Medicine. 143(3). 648–659. 78 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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