David E. Kang

416 total citations
9 papers, 347 citations indexed

About

David E. Kang is a scholar working on Molecular Biology, Virology and Physiology. According to data from OpenAlex, David E. Kang has authored 9 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Virology and 2 papers in Physiology. Recurrent topics in David E. Kang's work include HIV Research and Treatment (2 papers), RNA regulation and disease (2 papers) and Alzheimer's disease research and treatments (2 papers). David E. Kang is often cited by papers focused on HIV Research and Treatment (2 papers), RNA regulation and disease (2 papers) and Alzheimer's disease research and treatments (2 papers). David E. Kang collaborates with scholars based in United States, South Korea and United Kingdom. David E. Kang's co-authors include Dennis J. Selkoe, Masayasu Okochi, Edward H. Koo, Jimin Zhang, Hiroshi Mori, Weiming Xia, Wayne A. Dornan, Alex McCampbell, Flossie Wong‐Staal and Nicholas J. Fitzsimons and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Death and Differentiation.

In The Last Decade

David E. Kang

9 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Kang United States	8	169	144	52	47	46	9	347
Jean-Daniel Abraham France	13	184 1.1×	181 1.3×	53 1.0×	17 0.4×	51 1.1×	20	503
Alexa Ertmer Germany	7	371 2.2×	114 0.8×	66 1.3×	39 0.8×	40 0.9×	7	565
Åke Boketoft Sweden	10	282 1.7×	77 0.5×	59 1.1×	40 0.9×	18 0.4×	17	496
A M Giammarioli Italy	7	211 1.2×	53 0.4×	48 0.9×	73 1.6×	28 0.6×	11	398
Robert W. Button United Kingdom	8	190 1.1×	44 0.3×	71 1.4×	9 0.2×	30 0.7×	12	407
D Stavrou Germany	9	170 1.0×	63 0.4×	27 0.5×	24 0.5×	16 0.3×	36	379
Pablo García‐Miranda Spain	13	281 1.7×	48 0.3×	133 2.6×	23 0.5×	6 0.1×	33	486
Diana Hildebrand Germany	11	221 1.3×	93 0.6×	13 0.3×	27 0.6×	22 0.5×	16	351
Xianghong Kuang United States	16	394 2.3×	52 0.4×	98 1.9×	36 0.8×	8 0.2×	24	638
Christelle Aigueperse France	13	593 3.5×	31 0.2×	111 2.1×	13 0.3×	18 0.4×	20	727

Countries citing papers authored by David E. Kang

Since Specialization

Citations

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

Fields of papers citing papers by David E. Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Kang

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

All Works

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9 of 9 papers shown

1.

Ren, Di, Zhibin He, Julia Fedorova, et al.. (2020). Sestrin2 maintains OXPHOS integrity to modulate cardiac substrate metabolism during ischemia and reperfusion. Redox Biology. 38. 101824–101824. 26 indexed citations

2.

Boo, Jung Hyun, Chongam Kim, Gye Sun Jeon, et al.. (2013). Critical role of presenilin-dependent γ-secretase activity in DNA damage-induced promyelocytic leukemia protein expression and apoptosis. Cell Death and Differentiation. 20(4). 639–648. 10 indexed citations

3.

Kang, David E., Michael Lee, Jaydip Das Gupta, Eric A. Klein, & Robert H. Silverman. (2011). XMRV Discovery and Prostate Cancer-Related Research. Advances in Virology. 2011. 1–10. 2 indexed citations

4.

Boo, Jung Hyun, et al.. (2009). Accumulation of Phosphorylated β-Catenin Enhances ROS-Induced Cell Death in Presenilin-Deficient Cells. PLoS ONE. 4(1). e4172–e4172. 16 indexed citations

5.

Kang, David E., Nicholas J. Fitzsimons, Joseph C. Presti, et al.. (2007). Risk Stratification of Men with Gleason Score 7 to 10 Tumors by Primary and Secondary Gleason Score: Results from the SEARCH Database. Urology. 70(2). 277–282. 40 indexed citations

6.

Feng, Yu, Mark C. Leavitt, Richard Tritz, et al.. (2000). Inhibition of CCR5-Dependent HIV-1 Infection by Hairpin Ribozyme Gene Therapy against CC-Chemokine Receptor 5. Virology. 276(2). 271–278. 51 indexed citations

7.

Zhang, Jimin, David E. Kang, Weiming Xia, et al.. (1998). Subcellular Distribution and Turnover of Presenilins in Transfected Cells. Journal of Biological Chemistry. 273(20). 12436–12442. 130 indexed citations

8.

Gervaix, Alain, et al.. (1998). Gene therapy targeting cord blood-derived CD34+ cells from HIV-exposed infants: preclinical studies. Gene Therapy. 5(2). 233–239. 29 indexed citations

9.

Dornan, Wayne A., et al.. (1993). Bilateral injections of βA(25–35)+IBO into the hippocampus disrupts acquisition of spatial learning in the rat. Neuroreport. 5(2). 165–168. 43 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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