Michael M. Iba

836 total citations
48 papers, 697 citations indexed

About

Michael M. Iba is a scholar working on Pharmacology, Molecular Biology and Cancer Research. According to data from OpenAlex, Michael M. Iba has authored 48 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pharmacology, 18 papers in Molecular Biology and 18 papers in Cancer Research. Recurrent topics in Michael M. Iba's work include Pharmacogenetics and Drug Metabolism (23 papers), Carcinogens and Genotoxicity Assessment (18 papers) and Drug Transport and Resistance Mechanisms (10 papers). Michael M. Iba is often cited by papers focused on Pharmacogenetics and Drug Metabolism (23 papers), Carcinogens and Genotoxicity Assessment (18 papers) and Drug Transport and Resistance Mechanisms (10 papers). Michael M. Iba collaborates with scholars based in United States, Sweden and Netherlands. Michael M. Iba's co-authors include Paul E. Thomas, Xu Xu, Clifford P. Weisel, Robert J. Caccavale, Jacqueline Fung, Anima Ghosal, Gilbert J. Mannering, H. Scholl, John J. Fung and Martin P. Schulman and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Clinical Chemistry.

In The Last Decade

Michael M. Iba

48 papers receiving 660 citations

Peers

Michael M. Iba
Comparison fields: 5 of 92
  • Molecular Biology 269
  • Pharmacology 269
  • Cancer Research 205
  • Health, Toxicology and Mutagenesis 159
  • Oncology 103
E. Kim Fifer United States
Joyce Massengill United States
Eigo Takabatake Japan
J. Van Cantfort Belgium
W. Griffith Humphreys United States
A. Seidel Germany
J. A. Miller United States
G. F. Kahl Germany
Mary Treinen Moslen United States
Vangala V. Subrahmanyam United States
E. Kim Fifer United States View profile →
Citations per field, relative to Michael M. Iba
Michael M. Iba · 1×
Citations per year, relative to Michael M. Iba
Michael M. Iba · 1×

Countries citing papers authored by Michael M. Iba

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Iba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Iba. 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 Michael M. Iba. The network helps show where Michael M. Iba may publish in the future.

Co-authorship network of co-authors of Michael M. Iba

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 10
3 9
4 47
5 4
6 2
7 13
8 10
9 20
10 13
11 18
12 4
13 11
14 7
15 2
16 5
17 9
18 18
19 7
20
Alteration of the mutagenicity 3,3'-dichlorobenzidine by modifiers of rat hepatic epoxide hydrolase activity
1

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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