Manisha Iyer

789 total citations
14 papers, 611 citations indexed

About

Manisha Iyer is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology. According to data from OpenAlex, Manisha Iyer has authored 14 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 5 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in Manisha Iyer's work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Estrogen and related hormone effects (3 papers). Manisha Iyer is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Estrogen and related hormone effects (3 papers). Manisha Iyer collaborates with scholars based in United States, Egypt and Germany. Manisha Iyer's co-authors include Matthew D. Krasowski, Sean Ekins, Erica J. Reschly, A. J. Hopfinger, Rama K. Mishra, Yi Han, A. J. Hopfinger, Sandhya Kortagere, Markus A. Lill and Matthew R. Redinbo and has published in prestigious journals such as Clinical Chemistry, Molecular Pharmacology and Pharmaceutical Research.

In The Last Decade

Manisha Iyer

14 papers receiving 592 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manisha Iyer United States	12	224	215	193	99	93	14	611
Heather Eng United States	17	133 0.6×	427 2.0×	230 1.2×	176 1.8×	30 0.3×	41	865
Nancy Eddy Hopkins United States	17	101 0.5×	306 1.4×	434 2.2×	197 2.0×	112 1.2×	25	905
Praveen M. Bahadduri United States	9	130 0.6×	247 1.1×	126 0.7×	235 2.4×	26 0.3×	10	728
Andrew P. Blanchard United States	6	99 0.4×	140 0.7×	351 1.8×	144 1.5×	17 0.2×	8	535
Brian Ethell United Kingdom	16	76 0.3×	376 1.7×	458 2.4×	299 3.0×	32 0.3×	26	1.1k
Angelica Mazzolari Italy	16	269 1.2×	451 2.1×	103 0.5×	42 0.4×	18 0.2×	48	794
J H Lin United States	11	156 0.7×	299 1.4×	439 2.3×	344 3.5×	28 0.3×	13	1.1k
Prajwal P. Nandekar India	17	174 0.8×	339 1.6×	148 0.8×	88 0.9×	17 0.2×	33	690
Teresa Krieger-Burke United States	7	317 1.4×	356 1.7×	144 0.7×	90 0.9×	13 0.1×	11	788
Thomas S. McDonald United States	16	51 0.2×	216 1.0×	126 0.7×	84 0.8×	26 0.3×	27	610

Countries citing papers authored by Manisha Iyer

Since Specialization

Citations

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

Fields of papers citing papers by Manisha Iyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manisha Iyer

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Krasowski, Matthew D., et al.. (2009). Using molecular similarity to highlight the challenges of routine immunoassay-based drug of abuse/toxicology screening in emergency medicine. BMC Emergency Medicine. 9(1). 5–5. 45 indexed citations

Krasowski, Matthew D., et al.. (2009). Molecular Similarity Methods for Predicting Cross-Reactivity With Therapeutic Drug Monitoring Immunoassays. Therapeutic Drug Monitoring. 31(3). 337–344. 31 indexed citations

Ekins, Sean, Sandhya Kortagere, Manisha Iyer, et al.. (2009). Challenges Predicting Ligand-Receptor Interactions of Promiscuous Proteins: The Nuclear Receptor PXR. PLoS Computational Biology. 5(12). e1000594–e1000594. 93 indexed citations

Krasowski, Matthew D., et al.. (2009). Chemoinformatic Methods for Predicting Interference in Drug of Abuse/Toxicology Immunoassays. Clinical Chemistry. 55(6). 1203–1213. 32 indexed citations

Ekins, Sean, Manisha Iyer, Matthew D. Krasowski, & Evan D. Kharasch. (2008). Molecular Characterization of CYP2B6 Substrates. Current Drug Metabolism. 9(5). 363–373. 34 indexed citations

Ekins, Sean, Cheng Chang, Sridhar Mani, et al.. (2007). Human Pregnane X Receptor Antagonists and Agonists Define Molecular Requirements for Different Binding Sites. Molecular Pharmacology. 72(3). 592–603. 123 indexed citations

Iyer, Manisha, Tao Zheng, A. J. Hopfinger, & Yufeng Jane Tseng. (2007). QSAR Analyses of Skin Penetration Enhancers. Journal of Chemical Information and Modeling. 47(3). 1130–1149. 16 indexed citations

Iyer, Manisha & A. J. Hopfinger. (2007). Treating Chemical Diversity in QSAR Analysis: Modeling Diverse HIV-1 Integrase Inhibitors Using 4D Fingerprints. Journal of Chemical Information and Modeling. 47(5). 1945–1960. 15 indexed citations

Iyer, Manisha, Erica J. Reschly, & Matthew D. Krasowski. (2006). Functional evolution of the pregnane X receptor. Expert Opinion on Drug Metabolism & Toxicology. 2(3). 381–397. 37 indexed citations

10.

Iyer, Manisha, et al.. (2006). Prediction and Mechanistic Interpretation of Human Oral Drug Absorption Using MI-QSAR Analysis. Molecular Pharmaceutics. 4(2). 218–231. 26 indexed citations

11.

Pan, Dahua, Manisha Iyer, Jianzhong Liu, Yi Li, & A. J. Hopfinger. (2005). Construction Optimum Blood Brain Barrier QSAR Models Using a Combination of 4D‐Molecular Similarity Measures and Cluster Analysis.. ChemInform. 36(7). 8 indexed citations

12.

Pan, Dahua, Manisha Iyer, Jianzhong Liu, Yi Li, & A. J. Hopfinger. (2004). Constructing Optimum Blood Brain Barrier QSAR Models Using a Combination of 4D-Molecular Similarity Measures and Cluster Analysis. Journal of Chemical Information and Computer Sciences. 44(6). 2083–2098. 38 indexed citations

13.

Iyer, Manisha, Rama K. Mishra, Yi Han, & A. J. Hopfinger. (2002). Predicting Blood–Brain Barrier Partitioning of Organic Molecules Using Membrane–Interaction QSAR Analysis. Pharmaceutical Research. 19(11). 1611–1621. 110 indexed citations

14.

Sharma, Manmohan D., et al.. (1980). Effects of neonatal protein undernutrition on rat brain phosphoinositides.. PubMed. 17(3). 246–7. 3 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.

Explore authors with similar magnitude of impact