Robert Neely

524 total citations
10 papers, 298 citations indexed

About

Robert Neely is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Robert Neely has authored 10 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Robert Neely's work include Biosimilars and Bioanalytical Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Robert Neely is often cited by papers focused on Biosimilars and Bioanalytical Methods (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Advanced Biosensing Techniques and Applications (2 papers). Robert Neely collaborates with scholars based in United States, Germany and Sweden. Robert Neely's co-authors include John Choi, Charles F. Albright, Kaj Blennow, Jere E. Meredith, J. Randall Slemmon, Holly Soares, Valerie Guss, Erik Portelius, Flora Berisha and Anthony J. Lanzetti and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Analytical Chemistry.

In The Last Decade

Robert Neely

10 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Neely United States	7	150	125	51	47	41	10	298
Erica Bello United Kingdom	6	259 1.7×	115 0.9×	24 0.5×	29 0.6×	31 0.8×	7	382
Astrid Guldbrandsen Norway	9	185 1.2×	66 0.5×	47 0.9×	23 0.5×	20 0.5×	13	345
Sophie Robinson United Kingdom	7	196 1.3×	180 1.4×	65 1.3×	12 0.3×	29 0.7×	8	433
Sheila Ulufatu United States	10	189 1.3×	91 0.7×	50 1.0×	18 0.4×	120 2.9×	15	451
Guangchun Han United States	14	307 2.0×	155 1.2×	41 0.8×	22 0.5×	70 1.7×	26	493
Martina Pigoni Germany	10	207 1.4×	143 1.1×	21 0.4×	11 0.2×	46 1.1×	12	409
Silvia Catricalà Italy	6	97 0.6×	102 0.8×	18 0.4×	13 0.3×	21 0.5×	13	253
Adriana D. Benavides United States	5	196 1.3×	123 1.0×	53 1.0×	9 0.2×	32 0.8×	5	387
Timothy J. Gilmartin United States	6	336 2.2×	43 0.3×	83 1.6×	29 0.6×	32 0.8×	6	618
Megan Sealey United Kingdom	13	120 0.8×	140 1.1×	30 0.6×	10 0.2×	30 0.7×	19	326

Countries citing papers authored by Robert Neely

Since Specialization

Citations

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

Fields of papers citing papers by Robert Neely

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Neely

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

All Works

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10 of 10 papers shown

Zheng, Naiyu, Ian M. Catlett, Kristin Taylor, et al.. (2019). Determination of Real Time in Vivo Drug Receptor Occupancy for a Covalent Binding Drug as a Clinical Pharmacodynamic Biomarker by Immunocapture-LC-MS/MS. Analytical Chemistry. 91(13). 8443–8452. 9 indexed citations

Neely, Robert. (2018). Evolution of Fit-For-Purpose Biomarker Validations: An Lba Perspective. Bioanalysis. 10(12). 905–907. 4 indexed citations

Cowan, Kyra J., Lakshmi Amaravadi, Mark J. Cameron, et al.. (2017). Recommendations for Selection and Characterization of Protein Biomarker Assay Calibrator Material. The AAPS Journal. 19(6). 1550–1563. 16 indexed citations

Postelnek, Jennifer, Robert Neely, Michael Robbins, et al.. (2016). Development and Validation of Electrochemiluminescence Assays to Measure Free and Total sSLAMF7 in Human Serum in the Absence and Presence of Elotuzumab. The AAPS Journal. 18(4). 989–999. 5 indexed citations

Ni, Yan G., Xiling Yuan, John A. Newitt, et al.. (2015). Development and Fit-for-Purpose Validation of a Soluble Human Programmed Death-1 Protein Assay. The AAPS Journal. 17(4). 976–987. 9 indexed citations

Meredith, Jere E., Sethu Sankaranarayanan, Valerie Guss, et al.. (2013). Characterization of Novel CSF Tau and ptau Biomarkers for Alzheimer’s Disease. PLoS ONE. 8(10). e76523–e76523. 152 indexed citations

Green, George, Holly Soares, Flora Berisha, et al.. (2013). P1–137: Stability performance of a fully automated, chemiluminescent, beta‐amyloid 42 assay. Alzheimer s & Dementia. 9(4S_Part_5). 1 indexed citations

Neely, Robert, Marcia S. Brose, Kelly A. McCorkell, et al.. (2010). The RET/PTC3 oncogene activates classical NF-κB by stabilizing NIK. Oncogene. 30(1). 87–96. 26 indexed citations

Neely, Robert, et al.. (2004). Cell Division Rates of Primary Human Precursor B Cells in Culture Reflect In Vivo Rates. Stem Cells. 22(6). 1111–1120. 32 indexed citations

10.

Zhao, Fang, et al.. (2001). Promotion of Cell Cycle Progression by Basic Helix-Loop-Helix E2A. Molecular and Cellular Biology. 21(18). 6346–6357. 44 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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