Neelima Koppada

2.7k total citations
11 papers, 313 citations indexed

About

Neelima Koppada is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Neelima Koppada has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Molecular Biology. Recurrent topics in Neelima Koppada's work include HER2/EGFR in Cancer Research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Cell Adhesion Molecules Research (3 papers). Neelima Koppada is often cited by papers focused on HER2/EGFR in Cancer Research (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Cell Adhesion Molecules Research (3 papers). Neelima Koppada collaborates with scholars based in United States, Sweden and Denmark. Neelima Koppada's co-authors include Ola M. Saad, Surinder Kaur, Katherine R. Kozak, Eduardo E. Mundo, Ben‐Quan Shen, Kedan Lin, Crystal Zhang, Herman Gill, Daniela Bumbaca and Bonnee Rubinfeld and has published in prestigious journals such as Cancer Research, Pharmaceutical Research and Analytical and Bioanalytical Chemistry.

In The Last Decade

Neelima Koppada

11 papers receiving 284 citations

Peers

Neelima Koppada
Robin Marsden United States
Philip W. Howard United Kingdom
Jo Soden United States
Adam Bates United States
Neelima Koppada
Citations per year, relative to Neelima Koppada Neelima Koppada (= 1×) peers Meritxell Galindo Casas

Countries citing papers authored by Neelima Koppada

Since Specialization
Citations

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

Fields of papers citing papers by Neelima Koppada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neelima Koppada

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

All Works

11 of 11 papers shown
1.
Chandran, Vineesh Indira, Ann‐Sofie Månsson, Myriam Cerezo-Magaña, et al.. (2020). Hypoxia Attenuates Trastuzumab Uptake and Trastuzumab-Emtansine (T-DM1) Cytotoxicity through Redistribution of Phosphorylated Caveolin-1. Molecular Cancer Research. 18(4). 644–656. 25 indexed citations
2.
Saiki, Anne Y., Kevin Gaida, Karen Rex, et al.. (2019). Abstract 4484: Discovery and in vitro characterization of AMG 510–a potent and selective covalent small-molecule inhibitor of KRASG12C. 4484–4484. 1 indexed citations
3.
Hyung, Suk‐Joon, Dongwei Li, Neelima Koppada, Surinder Kaur, & Ola M. Saad. (2019). Method development of a novel PK assay for antibody-conjugated drug measurement of ADCs using peptide-linker drug analyte. Analytical and Bioanalytical Chemistry. 411(12). 2587–2596. 12 indexed citations
5.
Rex, Karen, Anne Y. Saiki, Ji-Rong Sun, et al.. (2019). Abstract 3090: In vivo characterization of AMG 510 - a potent and selective KRASG12Ccovalent small molecule inhibitor in preclinical KRASG12Ccancer models. Cancer Research. 79(13_Supplement). 3090–3090. 6 indexed citations
6.
Saiki, Anne Y., Kevin Gaida, Karen Rex, et al.. (2019). Abstract 4484: Discovery and in vitro characterization of AMG 510–a potent and selective covalent small-molecule inhibitor of KRASG12C. Cancer Research. 79(13_Supplement). 4484–4484. 13 indexed citations
7.
Lin, Shun Xin Wang, Chenguang Zhou, Amrita V. Kamath, et al.. (2018). Minimal physiologically-based pharmacokinetic modeling of DSTA4637A, A novel THIOMAB™ antibody antibiotic conjugate against Staphylococcus aureus, in a mouse model. mAbs. 10(7). 1–13. 10 indexed citations
8.
Kågedal, Matts, Leonid Gibiansky, Jian Xu, et al.. (2017). Platform model describing pharmacokinetic properties of vc-MMAE antibody–drug conjugates. Journal of Pharmacokinetics and Pharmacodynamics. 44(6). 537–548. 9 indexed citations
9.
Zhou, Xiaoju, Sophie M. Lehar, Johnny Gutierrez, et al.. (2016). Pharmacokinetics and pharmacodynamics of DSTA4637A: A novel THIOMAB™ antibody antibiotic conjugate against Staphylococcus aureus in mice. mAbs. 8(8). 1612–1619. 62 indexed citations
10.
Lü, Dan, Jin Y. Jin, Sandhya Girish, et al.. (2014). Semi-mechanistic Multiple-Analyte Pharmacokinetic Model for an Antibody-Drug-Conjugate in Cynomolgus Monkeys. Pharmaceutical Research. 32(6). 1907–1919. 19 indexed citations
11.
Boswell, C. Andrew, Eduardo E. Mundo, Crystal Zhang, et al.. (2011). Impact of Drug Conjugation on Pharmacokinetics and Tissue Distribution of Anti-STEAP1 Antibody–Drug Conjugates in Rats. Bioconjugate Chemistry. 22(10). 1994–2004. 155 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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