Tami Annable

1.3k citations
23 papers · 1.0k indexed · h-index 17

Tami Annable

23 papers receiving 983 citations

Peers

Tami Annable
Comparison fields: 5 of 83
  • Oncology 459
  • Toxicology 37
  • Cell Biology 157
  • Cancer Research 130
  • Molecular Biology 571
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C.R. Fairchild United States
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Citations per field
00.5×9.6×
C.R. Fairchild · 1×
Citations per year

Countries citing papers authored by Tami Annable

Since Specialization
Citations

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

Fields of papers citing papers by Tami Annable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201826
2 201757
3 201768
4 201524
5 20152
6 20148
7 200821
8 20087
9 2006120
10 200630
11
Cells resistant to HTI-286 do not overexpress P-glycoprotein but have reduced drug accumulation and a point mutation in alpha-tubulin.
200425
12 200416
13 200448
14 200424
15 20041
16
HTI-286, a synthetic analogue of the tripeptide hemiasterlin, is a potent antimicrotubule agent that circumvents P-glycoprotein-mediated resistance in vitro and in vivo.
200397
17
MAC-321, a novel taxane with greater efficacy than paclitaxel and docetaxel in vitro and in vivo.
200351
18
Reversal of a novel multidrug resistance mechanism in human colon carcinoma cells by fumitremorgin C.
1998262
19
alpha-(3,4-dimethyoxyphenyl)-3,4-dihydro-6,7-dimethoxy-alpha- [(4-methylphenyl)thio]-2(1H)-isoquinolineheptanenitrile (CL 329,753): a novel chemosensitizing agent for P-glycoprotein-mediated resistance with improved biological properties compared with verapamil and cyclosporine A.
19968
20
P-glycoprotein mediates profound resistance to bisantrene.
199425

About Tami Annable

Tami Annable is a scholar working on Hepatology, Cell Biology and Oncology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Liver physiology and pathology (4 papers), Cancer Treatment and Pharmacology (4 papers), Ubiquitin and proteasome pathways (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Estrogen and related hormone effects (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Oncology (459 citations), Toxicology (37 citations) and Cell Biology (157 citations). Tami Annable has collaborated with scholars based in United States and China. Frequent co-authors include Lee M. Greenberger, Eric Brown, H He, Manu Smriti Singh, Frank Loganzo, Sridhar K. Rabindran, Sylvia Musto, Xingzhi Tan, Malathi Hari and Tito Fojo. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Gastroenterology, Journal of Medicinal Chemistry and American Journal Of Pathology.

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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