Г. В. Максимов

2.5k citations
201 papers · 1.9k indexed · h-index 22

Г. В. Максимов

188 papers receiving 1.9k citations

Peers

Г. В. Максимов
Comparison fields: 5 of 140
  • Biophysics 564
  • Electronic, Optical and Magnetic Materials 320
  • Analytical Chemistry 162
  • Physiology 418
  • Pharmaceutical Science 82
Replace Meng C. Wang with:
Meng C. Wang United States
Marta C. Yappert United States
Jianan Y. Qu Hong Kong
Yihui Shen United States
Nadezda A. Brazhe Russia
John T. Pelton United States
Douglas Borchman United States
John L. Howland United States
Yanan Wu China
Werner Mäntele Germany
Г. В. Максимов relative to Meng C. Wang United States Meng C. Wang's profile →
Citations per field
00.5×3.4×
Meng C. Wang · 1×
Citations per year

Countries citing papers authored by Г. В. Максимов

Since Specialization
Citations

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

Fields of papers citing papers by Г. В. Максимов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Г. В. Максимов. 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 Г. В. Максимов. The network helps show where Г. В. Максимов may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20241
3 20232
4 20235
5 20239
6 20230
7 202255
8 202211
9 20222
10 20217
11 20200
12 20182
13 20173
14
Nanostructured silver materials for noninvasive medical diagnostics by surface-enhanced Raman spectroscopy (Focus Article)
20162
15
Role of Schwann cell in regulation of myelin sheath properties during nerve fiber excitation and activation of purinergic receptors
20151
16 20150
17 20119
18 20118
19 20082
20 200114

About Г. В. Максимов

Г. В. Максимов is a scholar working on Biophysics, Physiology and Cell Biology, having authored 201 papers that have together received 1.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (42 papers), Hemoglobin structure and function (27 papers), Spectroscopy Techniques in Biomedical and Chemical Research (26 papers), Lipid Membrane Structure and Behavior (21 papers), Gold and Silver Nanoparticles Synthesis and Applications (19 papers), Photoreceptor and optogenetics research (11 papers), Biochemical effects in animals (11 papers) and Digital Holography and Microscopy (10 papers). The work is most often cited by research in Biophysics (564 citations), Electronic, Optical and Magnetic Materials (320 citations) and Analytical Chemistry (162 citations). Г. В. Максимов has collaborated with scholars based in Russia, Tajikistan and Denmark. Frequent co-authors include Nadezda A. Brazhe, Olga Sosnovtseva, Alexey Brazhe, E. Yu. Parshina, A. I. Yusipovich, Eugene A. Goodilin, Anna A. Semenova, Sergei N. Orlov, Maxim E. Darvin and A. B. Rubin. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and PLoS ONE.

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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