Nathan A. Lemp

786 total citations
18 papers, 568 citations indexed

About

Nathan A. Lemp is a scholar working on Molecular Biology, Transplantation and Nephrology. According to data from OpenAlex, Nathan A. Lemp has authored 18 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Transplantation and 4 papers in Nephrology. Recurrent topics in Nathan A. Lemp's work include Renal Transplantation Outcomes and Treatments (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Virus-based gene therapy research (3 papers). Nathan A. Lemp is often cited by papers focused on Renal Transplantation Outcomes and Treatments (5 papers), Renal Diseases and Glomerulopathies (4 papers) and Virus-based gene therapy research (3 papers). Nathan A. Lemp collaborates with scholars based in United States, Denmark and Germany. Nathan A. Lemp's co-authors include H. Phillip Koeffler, Noriyuki Kasahara, Harald Gschaidmeier, Oliver G. Ottmann, Dieter Hoelzer, Sven de Vos, Letetia C. Jones, Wolf‐K. Hofmann, Christopher R. Logg and James O’Kelly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Nathan A. Lemp

16 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan A. Lemp United States 12 245 171 116 101 83 18 568
Nicolas Bonadies Switzerland 14 423 1.7× 264 1.5× 121 1.0× 46 0.5× 120 1.4× 39 723
Tiffany Cheng United States 10 307 1.3× 147 0.9× 258 2.2× 109 1.1× 83 1.0× 14 812
Ritsuko Seki Japan 15 266 1.1× 72 0.4× 111 1.0× 58 0.6× 104 1.3× 48 647
Ursula Holzer Germany 17 183 0.7× 208 1.2× 62 0.5× 47 0.5× 366 4.4× 45 729
R Béliard France 13 173 0.7× 217 1.3× 75 0.6× 63 0.6× 221 2.7× 24 577
Yoko Kubuki Japan 12 260 1.1× 210 1.2× 226 1.9× 76 0.8× 213 2.6× 34 628
Crescenzio Francesco Minervini Italy 18 385 1.6× 228 1.3× 187 1.6× 17 0.2× 58 0.7× 56 761
Eduardo Cuende Spain 13 154 0.6× 72 0.4× 39 0.3× 147 1.5× 231 2.8× 32 590
Fumie Nakazawa Japan 10 202 0.8× 286 1.7× 213 1.8× 30 0.3× 184 2.2× 15 711
Shojiro Yamamoto Japan 10 95 0.4× 79 0.5× 56 0.5× 24 0.2× 105 1.3× 29 378

Countries citing papers authored by Nathan A. Lemp

Since Specialization
Citations

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

Fields of papers citing papers by Nathan A. Lemp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan A. Lemp

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

All Works

18 of 18 papers shown
1.
2.
Cicciarelli, J, Nathan A. Lemp, Michael N. Koss, et al.. (2017). Renal Transplant Patients Biopsied for Cause and Tested for C4d, DSA, and IgG Subclasses and C1q: Which Humoral Markers Improve Diagnosis and Outcomes?. Journal of Immunology Research. 2017. 1–14. 20 indexed citations
3.
Lemp, Nathan A., J Cicciarelli, Michael N. Koss, et al.. (2016). P142 Hyperacute rejection in a kidney transplant recipient with no HLA antibodies. Human Immunology. 77. 140–140. 1 indexed citations
4.
Cho, Yong‐Yeon, et al.. (2015). OR2 HLA class II antigen matching effect on kidney transplantation. Human Immunology. 76. 2–2. 1 indexed citations
5.
Lemp, Nathan A., J Cicciarelli, Noriyuki Kasahara, et al.. (2014). P123. Human Immunology. 75. 135–135. 1 indexed citations
6.
Lemp, Nathan A., et al.. (2013). Reduction of HLA class I expression by ribonucleic acid interference mitigates allogenicity of human primary and Immortalized cells.. PubMed. 93–101.
7.
Cicciarelli, J, Noriyuki Kasahara, Nathan A. Lemp, et al.. (2013). Immunoglobulin G subclass analysis of HLA donor specific antibodies in heart and renal transplant recipients.. PubMed. 413–22. 14 indexed citations
8.
Lemp, Nathan A., Kei Hiraoka, Noriyuki Kasahara, & Christopher R. Logg. (2012). Cryptic transcripts from a ubiquitous plasmid origin of replication confound tests for cis-regulatory function. Nucleic Acids Research. 40(15). 7280–7290. 25 indexed citations
9.
Szakmary, Akos, Andrew Cuddihy, Nora Rozengurt, et al.. (2011). Combined preconditioning and in vivo chemoselection with 6-thioguanine alone achieves highly efficient reconstitution of normal hematopoiesis with HPRT-deficient bone marrow. Experimental Hematology. 40(1). 3–13.e3. 9 indexed citations
10.
O’Kelly, James, Alice Chung, Nathan A. Lemp, et al.. (2008). Functional domains of CCN1 (Cyr61) regulate breast cancer progression. International Journal of Oncology. 33(1). 59–67. 44 indexed citations
11.
Lemp, Nathan A., et al.. (2008). Splicing mediates the activity of four putative cellular internal ribosome entry sites. Proceedings of the National Academy of Sciences. 105(12). 4733–4738. 63 indexed citations
12.
Logg, Christopher R., et al.. (2007). Adaptive Evolution of a Tagged Chimeric Gammaretrovirus: Identification of Novel cis-Acting Elements that Modulate Splicing. Journal of Molecular Biology. 369(5). 1214–1229. 23 indexed citations
13.
Lemp, Nathan A., Christopher R. Logg, German G. Gomez, et al.. (2006). Permanent, Lowered HLA Class I Expression Using Lentivirus Vectors With shRNA Constructs: Averting Cytotoxicity by Alloreactive T Lymphocytes. Transplantation Proceedings. 38(10). 3184–3188. 25 indexed citations
14.
O’Kelly, James, Milan R. Uskoković, Nathan A. Lemp, Jaydutt V. Vadgama, & H. Phillip Koeffler. (2006). Novel Gemini-vitamin D3 analog inhibits tumor cell growth and modulates the Akt/mTOR signaling pathway. The Journal of Steroid Biochemistry and Molecular Biology. 100(4-5). 107–116. 27 indexed citations
15.
Ikezoe, Takayuki, Sigal Gery, James O’Kelly, et al.. (2005). CCAAT/Enhancer-Binding Protein δ: A Molecular Target of 1,25-Dihydroxyvitamin D3 in Androgen-Responsive Prostate Cancer LNCaP Cells. Cancer Research. 65(11). 4762–4768. 47 indexed citations
16.
Gery, Sigal, Dorothy J. Park, Peter T. Vuong, et al.. (2004). Retinoic acid regulates C/EBP homologous protein expression (CHOP), which negatively regulates myeloid target genes. Blood. 104(13). 3911–3917. 27 indexed citations
17.
Hofmann, Wolf‐K., Letetia C. Jones, Nathan A. Lemp, et al.. (2002). Ph+ acute lymphoblastic leukemia resistant to the tyrosine kinase inhibitor STI571 has a unique BCR-ABL gene mutation. Blood. 99(5). 1860–1862. 205 indexed citations
18.
Vegesna, Vijaya, James O’Kelly, Milan R. Uskoković, et al.. (2002). Vitamin D3Analogs Stimulate Hair Growth in Nude Mice. Endocrinology. 143(11). 4389–4396. 36 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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