A.V. Kazansky

17 papers receiving 554 citations

Peers

A.V. Kazansky
Comparison fields: 5 of 61
  • Oncology 301
  • Cancer Research 99
  • Genetics 165
  • Immunology 116
  • Endocrinology, Diabetes and Metabolism 74
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Countries citing papers authored by A.V. Kazansky

Since Specialization
Citations

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

Fields of papers citing papers by A.V. Kazansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A.V. Kazansky, 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 A.V. Kazansky Line = papers co-authored together A.V. Kazansky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1995111
2 1999107
3 199480
4 199658
5
Activation of signal transducer and activator of transcription 5 is required for progression of autochthonous prostate cancer: evidence from the transgenic adenocarcinoma of the mouse prostate system.
200358
6
Composite response elements mediate hormonal and developmental regulation of milk protein gene expression.
199842
7
Signal transducers and activators of transcription 5B potentiates v-Src-mediated transformation of NIH-3T3 cells.
200133
8 201226
9 199123
10 199419
11 20136
12 19903
13 19972
14
Atmospheric correction for determination of average SST fields based on AVHRR data
19922
15 20101
16 20021
17 20051
18 20130
19 20200
20 20050

About A.V. Kazansky

A.V. Kazansky is a scholar working on Molecular Biology, Oncology, Oceanography, Atmospheric Science and Genetics, having authored 20 papers that have together received 573 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Meteorological Phenomena and Simulations (4 papers), Animal Genetics and Reproduction (3 papers), Oceanographic and Atmospheric Processes (3 papers), Digestive system and related health (3 papers), Infant Nutrition and Health (2 papers), Climate variability and models (2 papers) and Milk Quality and Mastitis in Dairy Cows (2 papers). The work is most often cited by research in Oncology (301 citations), Cancer Research (99 citations), Genetics (165 citations), Immunology (116 citations) and Endocrinology, Diabetes and Metabolism (74 citations). A.V. Kazansky has collaborated with scholars based in United States and Russia. Frequent co-authors include Jeffrey M. Rosen, Brian Raught, Bushra Khursheed, Saralyn Lindsey, Elena B. Kabotyanski, Michael A. Mancini, Shannon L. Wyszomierski, David M. Spencer, Norman M. Greenberg and Cynthia A. Zahnow. Their work appears in journals such as Molecular Endocrinology, Molecular and Cellular Biology, International Journal of Biological Sciences, Journal of Nanomedicine & Nanotechnology and Remote Sensing of Environment.

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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