Greg Khitrov

1.5k total citations · 1 hit paper
6 papers, 977 citations indexed

About

Greg Khitrov is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Greg Khitrov has authored 6 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 2 papers in Genetics. Recurrent topics in Greg Khitrov's work include Cancer Mechanisms and Therapy (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and Muscle Physiology and Disorders (1 paper). Greg Khitrov is often cited by papers focused on Cancer Mechanisms and Therapy (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and Muscle Physiology and Disorders (1 paper). Greg Khitrov collaborates with scholars based in United States and Spain. Greg Khitrov's co-authors include Erwin P. Böttinger, Myron Schwartz, Jordi Bruix, Samuel Waxman, Josep M. Llovet, Weijia Zhang, Elisa Wurmbach, Isabel Fiel, Ying‐Bei Chen and Sasan Roayaie and has published in prestigious journals such as Blood, Hepatology and Journal of the American Society of Nephrology.

In The Last Decade

Greg Khitrov

6 papers receiving 966 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genome‐wide molecular profiles of HCV‐induced dysplasia and hepatocellular carcinoma†

2007 559 citations Elisa Wurmbach, Ying‐Bei Chen et al. Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Greg Khitrov United States	5	675	339	136	124	124	6	977
Gaku Kigawa Japan	21	794 1.2×	276 0.8×	195 1.4×	421 3.4×	86 0.7×	70	1.2k
Tetsushi Saishoji Japan	11	294 0.4×	155 0.5×	100 0.7×	206 1.7×	170 1.4×	15	717
Hongzhi Zou United States	6	489 0.7×	146 0.4×	137 1.0×	101 0.8×	110 0.9×	8	700
Yangfan Lv China	16	583 0.9×	359 1.1×	130 1.0×	205 1.7×	35 0.3×	31	892
Nobuya Yamada Japan	18	379 0.6×	292 0.9×	148 1.1×	579 4.7×	69 0.6×	74	1.1k
Keiichi Aomatsu Japan	15	510 0.8×	194 0.6×	96 0.7×	254 2.0×	63 0.5×	23	817
Takaaki Imamura Japan	12	351 0.5×	182 0.5×	73 0.5×	181 1.5×	105 0.8×	24	647
Virginie Defamie Canada	11	328 0.5×	268 0.8×	68 0.5×	210 1.7×	76 0.6×	13	751
Kerry Blanchard United States	11	632 0.9×	159 0.5×	85 0.6×	316 2.5×	24 0.2×	14	1.0k
Mary Matli United States	13	806 1.2×	424 1.3×	160 1.2×	431 3.5×	155 1.3×	20	1.3k

Countries citing papers authored by Greg Khitrov

Since Specialization

Citations

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

Fields of papers citing papers by Greg Khitrov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greg Khitrov

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Shtilbans, Alexander, Soon Gang Choi, Mary Fowkes, et al.. (2011). Differential gene expression in patients with amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis. 12(4). 250–256. 22 indexed citations

2.

Shi, Shaolin, Liping Yu, Yezhou Sun, et al.. (2008). Podocyte-Selective Deletion of Dicer Induces Proteinuria and Glomerulosclerosis. Journal of the American Society of Nephrology. 19(11). 2159–2169. 292 indexed citations

3.

Wurmbach, Elisa, Ying‐Bei Chen, Greg Khitrov, et al.. (2007). Genome‐wide molecular profiles of HCV‐induced dysplasia and hepatocellular carcinoma†. Hepatology. 45(4). 938–947. 559 indexed citations breakdown →

4.

Zohrabian, Vahe M., Nicholas Gulati, Greg Khitrov, et al.. (2007). Gene expression profiling of metastatic brain cancer. Oncology Reports. 18(2). 321–8. 84 indexed citations

5.

Viale, Agnès, Juan Li, Jay P. Tiesman, et al.. (2007). Big results from small samples: evaluation of amplification protocols for gene expression profiling.. PubMed. 18(3). 150–61. 19 indexed citations

6.

Sun, Yezhou, et al.. (2006). Translational Regulation of Gene Expression by the NPM-ALK Fusion Kinase of Anaplastic Large Cell Lymphoma: A Global Evaluation of Differentially Recruited mRNA’s to Polyribosomes.. Blood. 108(11). 291–291. 1 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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