Gusev Ai

2.5k citations
71 papers · 2.0k indexed · h-index 24

Gusev Ai

62 papers receiving 1.9k citations

Peers

Gusev Ai
Comparison fields: 5 of 108
  • Spectroscopy 1.5k
  • Analytical Chemistry 514
  • Food Science 307
  • Toxicology 42
  • Computational Mechanics 250
Replace Chengdui Yang with:
Chengdui Yang China
Bogdan Gologan United States
Nari Talaty United States
Bradley B. Schneider Canada
J. Larry Campbell Canada
Prabha Dwivedi United States
Frank W. Crow United States
Abraham K. Badu‐Tawiah United States
Brian Musselman United States
Caiqiao Xiong China
Gusev Ai relative to Chengdui Yang China Chengdui Yang's profile →
Citations per field
00.5×3.4×
Chengdui Yang · 1×
Citations per year

Countries citing papers authored by Gusev Ai

Since Specialization
Citations

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

Fields of papers citing papers by Gusev Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 200730
3 200575
4 200522
5 2002288
6 200189
7 200080
8 199836
9 199741
10 199654
11 199585
12 199571
13 199327
14 19881
15 19821
16
Immunohistochemical study of alpha-fetoprotein and serum albumin in the early postnatal period in mice.
19752
17 19731
18
[A comparison of the individual alpha-fetoproteins of human fetuses and patients with primary liver cancer].
19711
19
[Cross immunological reactions between alpha-fetoproteins of man and animals].
19711
20
[Detection of alpha F-globulin in human embryo and newborn mouse liver sections using fluorescent antibodies].
19691

About Gusev Ai

Gusev Ai is a scholar working on Spectroscopy, Analytical Chemistry, Transplantation, Clinical Biochemistry and Food Science, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (27 papers), Analytical Chemistry and Chromatography (23 papers), Analytical chemistry methods development (12 papers), Pesticide Residue Analysis and Safety (10 papers), Ion-surface interactions and analysis (9 papers), Birth, Development, and Health (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Digestive system and related health (4 papers). The work is most often cited by research in Spectroscopy (1.5k citations), Analytical Chemistry (514 citations), Food Science (307 citations), Toxicology (42 citations) and Computational Mechanics (250 citations). Gusev Ai has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include David M. Hercules, Lucinda H. Cohen, Andrew Proctor, Bernard K. Choi, David C. Muddiman, Joe P. Foley, Honggang Bi, Yazen Alnouti, Warren F. Diven and Yakov I. Rabinovich. Their work appears in journals such as Analytical Chemistry, Bioanalysis, Macromolecules, Rapid Communications in Mass Spectrometry and Analytical and Bioanalytical Chemistry.

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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