Alexei A. Goltsov

1.9k citations
44 papers · 1.6k · h-index 23

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 5
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • Caveolin-1 and cellular processes 15

Alexei A. Goltsov

43 papers receiving 1.6k citations

Peers

Alexei A. Goltsov
Comparison fields: 5 of 80
  • Cell Biology 671
  • Clinical Biochemistry 246
  • Cancer Research 286
  • Molecular Biology 823
  • Biochemistry 61
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Citations per field
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Citations per year

Countries citing papers authored by Alexei A. Goltsov

Since Specialization
Citations

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

Fields of papers citing papers by Alexei A. Goltsov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alexei A. Goltsov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexei A. Goltsov Line = papers co-authored together Alexei A. Goltsov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Secreted caveolin-1 stimulates cell survival/clonal growth and contributes to metastasis in androgen-insensitive prostate cancer.
2001179
2 2000117
3
Associations between mutations and a VNTR in the human phenylalanine hydroxylase gene.
199294
4 201375
5 200974
6 200373
7 200870
8 199370
9 200456
10 200255
11 200254
12 200851
13 199947
14
Recurrence of the R408W mutation in the phenylalanine hydroxylase locus in Europeans.
199545
15 201141
16
Molecular basis of phenylketonuria and a correlation between genotype and phenotype in a heterogeneous southeastern US population.
199638
17 200938
18 200637
19 200933
20 201132

About Alexei A. Goltsov

Alexei A. Goltsov is a scholar working on Molecular Biology, Cell Biology, Oncology, Clinical Biochemistry and Cancer Research, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (15 papers), Metabolism and Genetic Disorders (7 papers), Cancer, Lipids, and Metabolism (7 papers), Folate and B Vitamins Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer-related Molecular Pathways (4 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cell Biology (671 citations), Clinical Biochemistry (246 citations), Cancer Research (286 citations), Molecular Biology (823 citations) and Biochemistry (61 citations). Alexei A. Goltsov has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Timothy C. Thompson, Guang Yang, Chengzhen Ren, Likun Li, Salahaldin A. Tahir, Terry L. Timme, Randy C. Eisensmith, Savio L.C. Woo, Michael Ittmann and Jianxiang Wang. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Gene Therapy, Nucleic Acids Research and The Journal of Urology.

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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