Kenneth Nakahara

1.9k total citations
15 papers, 1.6k citations indexed

About

Kenneth Nakahara is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Kenneth Nakahara has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Kenneth Nakahara's work include T-cell and Retrovirus Studies (4 papers), Genetic factors in colorectal cancer (4 papers) and DNA Repair Mechanisms (3 papers). Kenneth Nakahara is often cited by papers focused on T-cell and Retrovirus Studies (4 papers), Genetic factors in colorectal cancer (4 papers) and DNA Repair Mechanisms (3 papers). Kenneth Nakahara collaborates with scholars based in United States, Canada and Ukraine. Kenneth Nakahara's co-authors include Ilan R. Kirsch, Philip Leder, Cynthia C. Morton, Peter D. Aplan, Stuart H. Orkin, Kathryn M. Tchorz, John Denobile, Peter W. Soballe, Thomas A. Waldmann and Michael P. Davey and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kenneth Nakahara

15 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth Nakahara United States	12	798	385	361	316	278	15	1.6k
Sabine Quief France	19	944 1.2×	401 1.0×	520 1.4×	472 1.5×	273 1.0×	29	1.8k
Jean‐Pierre Magaud France	27	1.4k 1.8×	399 1.0×	378 1.0×	252 0.8×	356 1.3×	60	2.3k
Meaghan Wall Australia	23	983 1.2×	330 0.9×	232 0.6×	204 0.6×	266 1.0×	57	1.6k
Françoise Cormier France	18	693 0.9×	301 0.8×	130 0.4×	285 0.9×	246 0.9×	32	1.3k
Blanca Scheijen Netherlands	24	1.5k 1.9×	615 1.6×	374 1.0×	311 1.0×	566 2.0×	53	2.6k
Richard C. Frank United States	21	1.1k 1.4×	986 2.6×	616 1.7×	233 0.7×	504 1.8×	50	2.4k
Woojoong Lee South Korea	3	1.3k 1.6×	422 1.1×	183 0.5×	287 0.9×	476 1.7×	8	2.0k
Nicola Hawe United States	7	642 0.8×	280 0.7×	231 0.6×	511 1.6×	137 0.5×	8	1.2k
Nianxiang Zhang United States	25	1.6k 2.0×	315 0.8×	182 0.5×	155 0.5×	457 1.6×	47	2.1k
Idoya Lahortiga Spain	20	672 0.8×	226 0.6×	158 0.4×	207 0.7×	595 2.1×	40	1.3k

Countries citing papers authored by Kenneth Nakahara

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth Nakahara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Nakahara

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

All Works

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15 of 15 papers shown

1.

Cheng, Yue, Zhenhua Zhang, Bridget P. Keenan, et al.. (2009). Efficient repair of DNA double-strand breaks in malignant cells with structural instability. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 683(1-2). 115–122. 9 indexed citations

2.

Glebov, O K, Luz M. Rodriguez, Peter W. Soballe, et al.. (2006). Gene Expression Patterns Distinguish Colonoscopically Isolated Human Aberrant Crypt Foci from Normal Colonic Mucosa. Cancer Epidemiology Biomarkers & Prevention. 15(11). 2253–2262. 31 indexed citations

3.

Glebov, O K, Luz M. Rodriguez, Patrick M. Lynch, et al.. (2006). Celecoxib Treatment Alters the Gene Expression Profile of Normal Colonic Mucosa. Cancer Epidemiology Biomarkers & Prevention. 15(7). 1382–1391. 20 indexed citations

4.

Hadley, Donald W., Jean Jenkins, Eileen Dimond, et al.. (2003). Genetic Counseling and Testing in Families With Hereditary Nonpolyposis Colorectal Cancer. Archives of Internal Medicine. 163(5). 573–573. 124 indexed citations

5.

Glebov, O K, Luz M. Rodriguez, Kenneth Nakahara, et al.. (2003). Distinguishing right from left colon by the pattern of gene expression.. PubMed. 12(8). 755–62. 220 indexed citations

6.

Togo, Masako, Tatsushi Toda, S. Kubota, et al.. (2001). Genetic analysis of phytosterolaemia. Journal of Inherited Metabolic Disease. 24(1). 43–50. 6 indexed citations

7.

Grogan, Liam, Jon Williams, Eileen Dimond, et al.. (1997). Mutations in beta-catenin are uncommon in colorectal cancer occurring in occasional replication error-positive tumors.. PubMed. 57(20). 4478–81. 123 indexed citations

8.

Hoang, T, Gerard Brady, Filio Billia, et al.. (1996). Opposing effects of the basic helix-loop-helix transcription factor SCL on erythroid and monocytic differentiation. Blood. 87(1). 102–111. 6 indexed citations

9.

Hoang, T, Gerard Brady, Filio Billia, et al.. (1996). Opposing effects of the basic helix-loop-helix transcription factor SCL on erythroid and monocytic differentiation. Blood. 87(1). 102–111. 77 indexed citations

10.

Stern, Marc‐Henri, Jean Soulier, Michèlle Rosenzwajg, et al.. (1993). MTCP-1: a novel gene on the human chromosome Xq28 translocated to the T cell receptor alpha/delta locus in mature T cell proliferations.. PubMed. 8(9). 2475–83. 121 indexed citations

11.

Aplan, Peter D., Kenneth Nakahara, Stuart H. Orkin, & Ilan R. Kirsch. (1992). The SCL gene product: a positive regulator of erythroid differentiation.. The EMBO Journal. 11(11). 4073–4081. 208 indexed citations

12.

Lipkowitz, Stanley, Verena Göbel, Mary Varterasian, et al.. (1992). A comparative structural characterization of the human NSCL-1 and NSCL-2 genes. Two basic helix-loop-helix genes expressed in the developing nervous system.. Journal of Biological Chemistry. 267(29). 21065–21071. 55 indexed citations

13.

Begley, C. Glenn, PD Aplan, Michael P. Davey, et al.. (1989). Chromosomal translocation in a human leukemic stem-cell line disrupts the T-cell antigen receptor delta-chain diversity region and results in a previously unreported fusion transcript.. Proceedings of the National Academy of Sciences. 86(6). 2031–2035. 239 indexed citations

14.

Davey, Michael P., Virginia Bertness, Kenneth Nakahara, et al.. (1988). Juxtaposition of the T-cell receptor alpha-chain locus (14q11) and a region (14q32) of potential importance in leukemogenesis by a 14;14 translocation in a patient with T-cell chronic lymphocytic leukemia and ataxia-telangiectasia.. Proceedings of the National Academy of Sciences. 85(23). 9287–9291. 51 indexed citations

15.

Kirsch, Ilan R., Cynthia C. Morton, Kenneth Nakahara, & Philip Leder. (1982). Human Immunoglobulin Heavy Chain Genes Map to a Region of Translocations in Malignant B Lymphocytes. Science. 216(4543). 301–303. 287 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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