Nadia Soukhova

1.7k citations
18 papers · 1.4k indexed · h-index 14
Topics
Pharmacogenetics and Drug Metabolism (12 papers)Antibiotics Pharmacokinetics and Efficacy (6 papers)Drug Transport and Resistance Mechanisms (5 papers)
Partner nations
United StatesFinland

In The Last Decade

Nadia Soukhova

18 papers receiving 1.3k citations

Peers

Nadia Soukhova
Comparison fields: 5 of 96
  • Pharmacology 720
  • Oncology 380
  • Genetics 320
  • Molecular Biology 302
  • Pharmacology 214
Replace JoAnn Scatina with:
JoAnn Scatina United States
Hyung‐Keun Roh South Korea
S. Cholerton United Kingdom
H.K. Crewe United Kingdom
Jukka Mäenpää Finland
Alvin Gomez Sweden
Sebastian Raimundo Germany
James A. Eckstein United States
Bing-Kou Tang Canada
Robert Z. Harris United States
Nadia Soukhova relative to JoAnn Scatina United States JoAnn Scatina's profile →
Citations per field
00.5×2.9×
JoAnn Scatina · 1×
Citations per year

Countries citing papers authored by Nadia Soukhova

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Soukhova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Soukhova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Soukhova. A scholar is included among the top collaborators of Nadia Soukhova 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 Nadia Soukhova. Nadia Soukhova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 92
2 43
3 77
4 492
5
Thiotepa is a specific inhibitor of cytochrome P450 2B6 Implications for cyclophosphamide metabolism
1
6 91
7 5
8 20
9 14
10 146
11 88
12 9
13 56
14 38
15 114
16 2
17 62
18 14

About Nadia Soukhova

Nadia Soukhova is a scholar working on Pharmacology, Pharmacology and Analytical Chemistry, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Pharmacology (720 citations), Oncology (380 citations) and Endocrinology, Diabetes and Metabolism (212 citations). Nadia Soukhova has collaborated with scholars based in United States and Finland. Frequent co-authors include David A. Flockhart, Zeruesenay Desta, Bryan A. Ward, Steven J. Soldin, Offie P. Soldin, Jae‐Gook Shin, James M. Rae, Thomas Kerbusch, Timothy S. Tracy and Jacqueline Jonklaas. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmacology and Experimental Therapeutics and Clinical Pharmacology & Therapeutics.

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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