Gregory Khitrov

776 total citations
10 papers, 590 citations indexed

About

Gregory Khitrov is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Gregory Khitrov has authored 10 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Gregory Khitrov's work include Gene expression and cancer classification (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and HIV Research and Treatment (1 paper). Gregory Khitrov is often cited by papers focused on Gene expression and cancer classification (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and HIV Research and Treatment (1 paper). Gregory Khitrov collaborates with scholars based in United States, United Kingdom and South Korea. Gregory Khitrov's co-authors include Maria Isabel Fiel, Scott L. Friedman, Miroslav Blumenberg, Alyssa G. Schuck, Irwin M. Freedberg, Thomas G. Turi, Myron Schwartz, Carlo Battiston, Samuel Waxman and Josep M. Llovet and has published in prestigious journals such as Gastroenterology, PLoS ONE and Cancer Research.

In The Last Decade

Gregory Khitrov

9 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory Khitrov United States	7	279	194	143	90	76	10	590
Kazuko Yamaoka Japan	9	263 0.9×	208 1.1×	76 0.5×	30 0.3×	43 0.6×	12	541
Dominique Bonnier France	15	363 1.3×	103 0.5×	91 0.6×	47 0.5×	125 1.6×	20	736
Ludo M. Evers Netherlands	8	372 1.3×	39 0.2×	86 0.6×	210 2.3×	62 0.8×	9	706
Kostas Evangelou Greece	11	303 1.1×	41 0.2×	102 0.7×	70 0.8×	56 0.7×	15	533
Liliana Terrin Italy	13	322 1.2×	40 0.2×	102 0.7×	38 0.4×	95 1.3×	21	707
H Okazaki Japan	9	261 0.9×	209 1.1×	58 0.4×	41 0.5×	31 0.4×	14	537
Yoshihiko Kishima Japan	11	353 1.3×	89 0.5×	60 0.4×	55 0.6×	61 0.8×	17	480
Diego Muilenburg United States	10	150 0.5×	77 0.4×	95 0.7×	27 0.3×	74 1.0×	15	604
Namratha Sheshadri United States	8	159 0.6×	28 0.1×	99 0.7×	77 0.9×	68 0.9×	10	395
Xiao-Ping Zhong United States	16	471 1.7×	111 0.6×	89 0.6×	106 1.2×	110 1.4×	20	897

Countries citing papers authored by Gregory Khitrov

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Khitrov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Khitrov

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

All Works

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10 of 10 papers shown

Kayalı, Refik, et al.. (2012). Read-through compound 13 restores dystrophin expression and improves muscle function in the mdx mouse model for Duchenne muscular dystrophy. Human Molecular Genetics. 21(18). 4007–4020. 77 indexed citations

Kim, Youngchul, Maria Isabel Fiel, Efsevia Albanis, et al.. (2012). Anti‐fibrotic activity and enhanced interleukin‐6 production by hepatic stellate cells in response to imatinib mesylate. Liver International. 32(6). 1008–1017. 32 indexed citations

Tayo, Bamidele O., Marie Teil, Liping Tong, et al.. (2011). Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine. PLoS ONE. 6(5). e19166–e19166. 46 indexed citations

Mosoian, Arevik, Avelino Teixeira, Colin Burns, et al.. (2007). Influence of Prothymosin‐α on HIV‐1 Target Cells. Annals of the New York Academy of Sciences. 1112(1). 269–285. 18 indexed citations

Lemmer, Eric R., Ying‐Bei Chen, Steven Yea, et al.. (2006). Dysregulation of hedgehog pathway signaling in hepatocellular carcinoma. Cancer Research. 66. 630–630.

Llovet, Josep M., Ying‐Bei Chen, Elisa Wurmbach, et al.. (2006). A Molecular Signature to Discriminate Dysplastic Nodules From Early Hepatocellular Carcinoma in HCV Cirrhosis. Gastroenterology. 131(6). 1758–1767. 276 indexed citations

Knudtson, Kevin L., Herbert Auer, Andrew I. Brooks, et al.. (2006). The ABRF MARG microarray survey 2005: taking the pulse of the microarray field.. PubMed. 17(2). 176–86. 2 indexed citations

Zhao, Hui, Meena Jhanwar‐Uniyal, Prasun K. Datta, et al.. (2003). Expression profile of genes associated with antimetastatic gene: nm23‐Mediated metastasis inhibition in breast carcinoma cells. International Journal of Cancer. 109(1). 65–70. 24 indexed citations

Khitrov, Gregory. (2001). Use of Inexpensive Dyes to Calibrate and Adjust Your Microarray Printer. BioTechniques. 30(4). 748–748. 3 indexed citations

10.

Turi, Thomas G., et al.. (2001). Rays and arrays: the transcriptional program in the response of human epidermal keratinocytes to UVB illumination. The FASEB Journal. 15(13). 2533–2535. 112 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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