Dan Zekzer

977 total citations
11 papers, 828 citations indexed

About

Dan Zekzer is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Dan Zekzer has authored 11 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Genetics and 3 papers in Surgery. Recurrent topics in Dan Zekzer's work include Diabetes and associated disorders (7 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Dan Zekzer is often cited by papers focused on Diabetes and associated disorders (7 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (7 papers). Dan Zekzer collaborates with scholars based in United States, Canada and Netherlands. Dan Zekzer's co-authors include Daniel L. Kaufman, Jide Tian, Angelica Olcott, Yuxin Lu, Martha Altieri, F. Susan Wong, Michele Solimena, Oran Ayalon, S Shintani and R. S. Sherwin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Dan Zekzer

11 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Zekzer United States	11	548	393	221	140	79	11	828
Leonie Oxbrow Australia	9	338 0.6×	396 1.0×	276 1.2×	175 1.3×	75 0.9×	10	664
Huilian Qin Canada	11	434 0.8×	344 0.9×	176 0.8×	125 0.9×	101 1.3×	13	702
Norio Haneji Japan	16	457 0.8×	234 0.6×	91 0.4×	65 0.5×	152 1.9×	27	987
David Liuwantara Australia	15	314 0.6×	274 0.7×	376 1.7×	146 1.0×	219 2.8×	20	835
Georgia Afonso France	11	419 0.8×	407 1.0×	335 1.5×	205 1.5×	129 1.6×	14	854
Robin S. Lindsay United States	12	302 0.6×	165 0.4×	148 0.7×	81 0.6×	78 1.0×	18	519
Aina Teniente‐Serra Spain	15	290 0.5×	89 0.2×	58 0.3×	43 0.3×	91 1.2×	48	545
E. Fleischnick United States	9	178 0.3×	122 0.3×	61 0.3×	90 0.6×	106 1.3×	11	419
S S Boggs United States	15	291 0.5×	137 0.3×	154 0.7×	35 0.3×	173 2.2×	34	775
María Pilar Armengol Spain	9	228 0.4×	94 0.2×	48 0.2×	94 0.7×	367 4.6×	14	702

Countries citing papers authored by Dan Zekzer

Since Specialization

Citations

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

Fields of papers citing papers by Dan Zekzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Zekzer

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

All Works

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11 of 11 papers shown

Washburn, Lorraine, Dan Zekzer, Shoshana Eitan, et al.. (2011). A Potential Role for Shed Soluble Major Histocompatibility Class I Molecules as Modulators of Neurite Outgrowth. PLoS ONE. 6(3). e18439–e18439. 23 indexed citations

Escande‐Beillard, Nathalie, Lorraine Washburn, Dan Zekzer, et al.. (2009). Neurons Preferentially Respond to Self-MHC Class I Allele Products Regardless of Peptide Presented. The Journal of Immunology. 184(2). 816–823. 22 indexed citations

Tian, Jide, Dan Zekzer, Yuxin Lu, Hoa Dang, & Daniel L. Kaufman. (2006). B Cells Are Crucial for Determinant Spreading of T Cell Autoimmunity among β Cell Antigens in Diabetes-Prone Nonobese Diabetic Mice. The Journal of Immunology. 176(4). 2654–2661. 56 indexed citations

Olcott, Angelica, Georges Tocco, Jide Tian, et al.. (2004). A Salen-Manganese Catalytic Free Radical Scavenger Inhibits Type 1 Diabetes and Islet Allograft Rejection. Diabetes. 53(10). 2574–2580. 20 indexed citations

Tian, Jide, et al.. (2001). Lipopolysaccharide-Activated B Cells Down-Regulate Th1 Immunity and Prevent Autoimmune Diabetes in Nonobese Diabetic Mice. The Journal of Immunology. 167(2). 1081–1089. 328 indexed citations

Kaufman, Daniel L., Roland Tisch, Nora Sarvetnick, et al.. (2001). Report From the 1st International NOD Mouse T-Cell Workshop and the Follow-Up Mini-Workshop. Diabetes. 50(11). 2459–2463. 29 indexed citations

Tian, Jide, et al.. (1999). Antigen-based immunotherapy for autoimmune disease: from animal models to humans?. Immunology Today. 20(4). 190–195. 23 indexed citations

Tian, Jide, et al.. (1998). Infectious Th1 and Th2 autoimmunity in diabetes‐prone mice. Immunological Reviews. 164(1). 119–127. 53 indexed citations

Zekzer, Dan, F. Susan Wong, Oran Ayalon, et al.. (1998). GAD-reactive CD4+ Th1 cells induce diabetes in NOD/SCID mice.. Journal of Clinical Investigation. 101(1). 68–73. 131 indexed citations

10.

Basadonna, Giacomo, Luiz Augusto Auersvald, Xin Xiao Zheng, et al.. (1998). Antibody-mediated targeting of CD45 isoforms: A novel immunotherapeutic strategy. Proceedings of the National Academy of Sciences. 95(7). 3821–3826. 84 indexed citations

11.

Zekzer, Dan, F. Susan Wong, Wen Li, et al.. (1997). Inhibition of Diabetes by an Insulin-Reactive CD4 T-Cell Clone in the Nonobese Diabetic Mouse. Diabetes. 46(7). 1124–1132. 59 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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