David B. Klug

736 total citations
8 papers, 603 citations indexed

About

David B. Klug is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, David B. Klug has authored 8 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in David B. Klug's work include T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). David B. Klug is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). David B. Klug collaborates with scholars based in United States, Japan and Malaysia. David B. Klug's co-authors include Ellen R. Richie, Carla Carter, Claudio J. Conti, Irma Gimenez‐Conti, Baishakhi Choudhury, Joy Williams, Richard J. Hodes, Claudio J. Conti, Lezlee Coghlan and Susan O. Sharrow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

David B. Klug

8 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Klug United States 6 333 195 135 92 66 8 603
Noam Kadouri Israel 11 288 0.9× 244 1.3× 142 1.1× 108 1.2× 57 0.9× 11 631
Jennifer E. Cowan United Kingdom 14 499 1.5× 132 0.7× 122 0.9× 115 1.3× 46 0.7× 19 673
Stefano Maio United Kingdom 10 227 0.7× 173 0.9× 62 0.5× 76 0.8× 44 0.7× 14 433
Hélène Favre France 8 119 0.4× 208 1.1× 242 1.8× 114 1.2× 66 1.0× 10 505
Mathias Hauri‐Hohl Switzerland 11 260 0.8× 134 0.7× 74 0.5× 54 0.6× 68 1.0× 22 469
Charles St-Pierre Canada 8 345 1.0× 305 1.6× 186 1.4× 42 0.5× 45 0.7× 8 596
Katherine J. Hare United Kingdom 11 342 1.0× 167 0.9× 110 0.8× 37 0.4× 34 0.5× 17 508
Els van Vliet Netherlands 6 259 0.8× 80 0.4× 56 0.4× 58 0.6× 54 0.8× 6 432
Roderick K. Ferrier United Kingdom 7 92 0.3× 219 1.1× 180 1.3× 37 0.4× 102 1.5× 7 478
Pierette M. Appasamy United States 11 403 1.2× 211 1.1× 213 1.6× 73 0.8× 101 1.5× 20 658

Countries citing papers authored by David B. Klug

Since Specialization
Citations

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

Fields of papers citing papers by David B. Klug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Klug

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

All Works

8 of 8 papers shown
1.
Williams, Joy, Jingjing Zhang, Takeshi Nitta, et al.. (2013). Thymic Medullary Epithelium and Thymocyte Self-Tolerance Require Cooperation between CD28–CD80/86 and CD40–CD40L Costimulatory Pathways. The Journal of Immunology. 192(2). 630–640. 42 indexed citations
2.
Williams, Joy, Jingjing Zhang, David B. Klug, et al.. (2010). Thymocyte autoreactivity and altered thymic epithelial development in the absence of CD28-CD80/86 and CD40-CD40L interactions (36.69). The Journal of Immunology. 184(Supplement_1). 36.69–36.69. 1 indexed citations
3.
Williams, Joy, Karen S. Hathcock, David B. Klug, et al.. (2005). Regulated Costimulation in the Thymus Is Critical for T Cell Development: Dysregulated CD28 Costimulation Can Bypass the Pre-TCR Checkpoint. The Journal of Immunology. 175(7). 4199–4207. 48 indexed citations
4.
Kassar, Nahed El, Philip J. Lucas, David B. Klug, et al.. (2004). A dose effect of IL-7 on thymocyte development. Blood. 104(5). 1419–1427. 60 indexed citations
5.
Klug, David B., Carla Carter, Irma Gimenez‐Conti, & Ellen R. Richie. (2002). Cutting Edge: Thymocyte-Independent and Thymocyte-Dependent Phases of Epithelial Patterning in the Fetal Thymus. The Journal of Immunology. 169(6). 2842–2845. 151 indexed citations
6.
Klug, David B., et al.. (2000). Transgenic Expression of Cyclin D1 in Thymic Epithelial Precursors Promotes Epithelial and T Cell Development. The Journal of Immunology. 164(4). 1881–1888. 51 indexed citations
7.
Klug, David B., et al.. (1998). Interdependence of cortical thymic epithelial cell differentiation and T-lineage commitment. Proceedings of the National Academy of Sciences. 95(20). 11822–11827. 246 indexed citations
8.
Klug, David B., et al.. (1996). Cross‐Linking the TCR Complex Induces Apoptosis in CD4+8+ Thymocytes in the Presence of Cyclosporin A. Journal of Immunology Research. 5(1). 1–15. 4 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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