I Roots

1.6k total citations · 1 hit paper
19 papers, 1.2k citations indexed

About

I Roots is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, I Roots has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pharmacology and 5 papers in Cancer Research. Recurrent topics in I Roots's work include Pharmacogenetics and Drug Metabolism (8 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Glutathione Transferases and Polymorphisms (3 papers). I Roots is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Glutathione Transferases and Polymorphisms (3 papers). I Roots collaborates with scholars based in Germany, United States and Sweden. I Roots's co-authors include Ingolf Cascorbi, Julia Kirchheiner, Miroslav Bauer, Julio Licínio, Ma‐Li Wong, J. Brockmöller, Karl Ludwig Rost, Jürgen Brockmöller, Christoph Sachse and H Helge and has published in prestigious journals such as Hepatology, Molecular Psychiatry and Clinical Pharmacology & Therapeutics.

In The Last Decade

I Roots

19 papers receiving 1.2k citations

Hit Papers

Pharmacogenetics of antidepressants and antipsychotics: t... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I Roots Germany 14 569 412 246 218 185 19 1.2k
Hyung‐Keun Roh South Korea 17 807 1.4× 294 0.7× 150 0.6× 352 1.6× 217 1.2× 29 1.4k
Mats Hidestrand United States 26 876 1.5× 549 1.3× 94 0.4× 439 2.0× 183 1.0× 40 1.8k
Nada Božina Croatia 23 482 0.8× 242 0.6× 386 1.6× 423 1.9× 166 0.9× 86 1.5k
Ernst‐Ulrich Griese Germany 19 895 1.6× 334 0.8× 95 0.4× 472 2.2× 216 1.2× 29 1.6k
Werner Steimer Germany 22 512 0.9× 252 0.6× 391 1.6× 140 0.6× 274 1.5× 51 1.3k
Scott Grimm United States 17 614 1.1× 254 0.6× 117 0.5× 404 1.9× 133 0.7× 50 1.3k
Müller Dj Canada 4 802 1.4× 219 0.5× 247 1.0× 189 0.9× 294 1.6× 8 1.2k
H.K. Crewe United Kingdom 12 717 1.3× 203 0.5× 163 0.7× 346 1.6× 319 1.7× 14 1.2k
Rebecca Blanchard United States 19 756 1.3× 677 1.6× 243 1.0× 721 3.3× 231 1.2× 46 2.0k
Anthony J. Streeter United States 17 362 0.6× 352 0.9× 421 1.7× 214 1.0× 140 0.8× 39 1.5k

Countries citing papers authored by I Roots

Since Specialization
Citations

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

Fields of papers citing papers by I Roots

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Roots

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

All Works

19 of 19 papers shown
1.
Seeringer, Angela, A. Fischer, Lisa Zondler, et al.. (2010). Genetic variants of the insulin receptor substrate‐1 are influencing the therapeutic efficacy of oral antidiabetics. Diabetes Obesity and Metabolism. 12(12). 1106–1112. 11 indexed citations
2.
Kirchheiner, Julia, L. Franke, Ingolf Meineke, et al.. (2005). Impact of the CYP2D6 ultra-rapid metabolizer genotype on CIS- and trans-doxepin pharmacokinetics and serotonin concentration in platelets. Clinical Pharmacology & Therapeutics. 77(2). P26–P26. 5 indexed citations
3.
Kirchheiner, Julia, Miroslav Bauer, Ma‐Li Wong, et al.. (2004). Pharmacogenetics of antidepressants and antipsychotics: the contribution of allelic variations to the phenotype of drug response. Molecular Psychiatry. 9(5). 442–473. 523 indexed citations breakdown →
4.
Kirchheiner, Julia, Leif Bertilsson, Henrik Bruus, et al.. (2003). Individualized Medicine - Implementation of Pharmacogenetic Diagnostics in Antidepressant Drug Treatment of Major Depressive Disorders. Pharmacopsychiatry. 36. 235–243. 45 indexed citations
5.
Kaiser, Rolf, et al.. (2002). Relationship between adverse effects of antipsychotic treatment and dopamine D2 receptor polymorphisms in patients with schizophrenia. Molecular Psychiatry. 7(7). 695–705. 69 indexed citations
6.
Cascorbi, Ingolf, et al.. (2001). Association of NAT1 and NAT2 polymorphisms to urinary bladder cancer: significantly reduced risk in subjects with NAT1*10.. PubMed. 61(13). 5051–6. 70 indexed citations
7.
Dettling, Michael, Christoph Sachse, B. Müller‐Oerlinghausen, et al.. (2000). Clozapine-induced Agranulocytosis and Hereditary Polymorphisms of Clozapine Metabolizing Enzymes: No Association with Myeloperoxidase and Cytochrome P4502D6. Pharmacopsychiatry. 33(6). 218–220. 31 indexed citations
8.
Cascorbi, Ingolf & I Roots. (1999). Pitfalls in N-acetyltransferase 2 genotyping. Pharmacogenetics. 9(1). 123–123. 57 indexed citations
9.
Kerb, Reinhold, et al.. (1999). Detection of the GSTM1*0 allele by long polymerase chain reaction. Pharmacogenetics. 9(1). 89???94–89???94. 21 indexed citations
10.
Cascorbi, Ingolf, et al.. (1998). Polymorphisms in xenobiotic conjugation and disease predisposition. Toxicology Letters. 102-103. 173–183. 53 indexed citations
11.
Golka, Klaus, Thomas Reckwitz, M. Kempkes, et al.. (1997). N-Acetyltransferase 2 (NAT2) and Glutathione S-Transferase μ (GSTM1) in Bladder-cancer Patients in a Highly Industrialized Area. International Journal of Occupational and Environmental Health. 3(2). 105–110. 32 indexed citations
12.
Mansmann, Ulrich, et al.. (1997). Urinary 6 beta-hydroxycortisol and D-glucaric acid excretion rates are not affected by lansoprazole treatment.. PubMed. 35(1). 14–8. 5 indexed citations
13.
Rost, Karl Ludwig & I Roots. (1996). Nonlinear Kinetics After High–Dose Omeprazole Caused by Saturation of Genetically Variable Cyp2c19. Hepatology. 23(6). 1491–1497. 34 indexed citations
14.
Cascorbi, Ingolf, et al.. (1996). Homozygous rapid arylamine N-acetyltransferase (NAT2) genotype as a susceptibility factor for lung cancer.. PubMed. 56(17). 3961–6. 109 indexed citations
15.
Rost, Karl Ludwig, et al.. (1995). Phenocopies of poor metabolizers of omeprazole caused by liver disease and drug treatment.. PubMed. 23(3). 268–77. 31 indexed citations
16.
Rost, Karl Ludwig, H. Brösicke, Jürgen Brockmöller, et al.. (1992). Increase of cytochrome P450IA2 activity by omeprazole: Evidence by the 13C-[N-3-methyl]-caffeine breath test in poor and extensive metabolizers of S-mephenytoin. Clinical Pharmacology & Therapeutics. 52(2). 170–180. 106 indexed citations
17.
Köppel, Claus, T. Thomsen, Gerhard Heinemeyer, & I Roots. (1991). Acute Poisoning With Bromofosmethyl (Bromophos). Journal of Toxicology Clinical Toxicology. 29(2). 203–207. 5 indexed citations
19.
Roots, I. (1982). [Genetic causes for the variability of effects and side effects of drugs].. PubMed. 23(11). 601–9. 5 indexed citations

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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