M. A. Nesmeyanova
- Molecular Biology
- Genetics top 10%
- Ecology top 10%
- Endocrinology, Diabetes and Metabolism
- Pollution top 10%
- Co-authors
- С. В. КононоваAndrey V. KajavaAndrey E. KalininВ. Н. КсензенкоSergey N. ZolovMikhail BogdanovGérard GiordanoН. Е. Сузина
- Topics
- Alkaline Phosphatase Research Studies (19 papers)Enzyme Structure and Function (12 papers)Bacterial Genetics and Biotechnology (10 papers)
- Partner nations
- RussiaUnited StatesCzechia
In The Last Decade
M. A. Nesmeyanova
36 papers receiving 689 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 397
- Genetics 187
- Ecology 134
- Endocrinology, Diabetes and Metabolism 96
- Pollution 92
Countries citing papers authored by M. A. Nesmeyanova
This map shows the geographic impact of M. A. Nesmeyanova'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 M. A. Nesmeyanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Nesmeyanova more than expected).
Fields of papers citing papers by M. A. Nesmeyanova
This network shows the impact of papers produced by M. A. Nesmeyanova. 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 M. A. Nesmeyanova. The network helps show where M. A. Nesmeyanova may publish in the future.
Co-authorship network of co-authors of M. A. Nesmeyanova
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Nesmeyanova. A scholar is included among the top collaborators of M. A. Nesmeyanova 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 M. A. Nesmeyanova. M. A. Nesmeyanova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Cultivating alfalfa for fodder production. | 0 |
| 3 | Role of binary sowing crops with legumes for preserving and improving soil fertility | 2 |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 206 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 29 | |
| 13 | 51 | |
| 14 | 72 | |
| 15 | 59 | |
| 16 | The study of biogenesis and secretion of alkaline phosphatase and its mutant forms in Escherichia coli. II. Effect of amino acid substitutions in the processing site and in N-terminus of mature polypeptide chain of alkaline phosphatase on its biogenesis | 1 |
| 17 | The study of biogenesis and secretion of alkaline phosphatase and its mutant forms in Escherichia coli. I. Introduction of mutations into alkaline phosphatase gene | 2 |
| 18 | 25 | |
| 19 | 11 | |
| 20 | 21 |
About M. A. Nesmeyanova
M. A. Nesmeyanova is a scholar working on Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science and Cell Biology, having authored 41 papers that have together received 720 indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (19 papers), Enzyme Structure and Function (12 papers) and Bacterial Genetics and Biotechnology (10 papers). The work is most often cited by research in Pollution (92 citations), Genetics (187 citations) and Endocrinology, Diabetes and Metabolism (96 citations). M. A. Nesmeyanova has collaborated with scholars based in Russia, United States and Czechia. Frequent co-authors include С. В. Кононова, Andrey V. Kajava, Andrey E. Kalinin, В. Н. Ксензенко, Sergey N. Zolov, Mikhail Bogdanov, Gérard Giordano, Н. Е. Сузина, Long‐Fei Wu and Claire‐Lise Santini. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology and FEBS Letters.
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.