Neil Kumar

621 total citations
8 papers, 466 citations indexed

About

Neil Kumar is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Neil Kumar has authored 8 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Neil Kumar's work include HER2/EGFR in Cancer Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Computational Drug Discovery Methods (2 papers). Neil Kumar is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Computational Drug Discovery Methods (2 papers). Neil Kumar collaborates with scholars based in United States and Brazil. Neil Kumar's co-authors include Douglas A. Lauffenburger, Forest M. White, Alejandro Wolf‐Yadlin, Hyung‐Do Kim, Muhammad H. Zaman, Yi Zhang, Sampsa Hautaniemi, Viara Grantcharova, David de Graaf and Bart S. Hendriks and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biophysical Journal and Sensors.

In The Last Decade

Neil Kumar

8 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Neil Kumar United States	6	333	123	92	75	70	8	466
Craig D. Wagner United States	10	373 1.1×	63 0.5×	68 0.7×	19 0.3×	53 0.8×	13	453
Julian Vasilescu Canada	11	466 1.4×	77 0.6×	200 2.2×	27 0.4×	32 0.5×	14	642
Andrea Missio Italy	8	344 1.0×	75 0.6×	98 1.1×	38 0.5×	46 0.7×	10	499
Yongzi Chen China	14	739 2.2×	132 1.1×	58 0.6×	47 0.6×	45 0.6×	30	904
Kwan-Young Jung South Korea	11	267 0.8×	41 0.3×	82 0.9×	25 0.3×	79 1.1×	14	327
Martin Golkowski United States	14	374 1.1×	67 0.5×	86 0.9×	33 0.4×	20 0.3×	28	511
Yubo Cao China	10	255 0.8×	54 0.4×	27 0.3×	37 0.5×	41 0.6×	17	354
Lora A. Tucker United States	13	326 1.0×	242 2.0×	35 0.4×	21 0.3×	64 0.9×	15	577
Bram Thijssen Netherlands	11	539 1.6×	203 1.7×	34 0.4×	88 1.2×	16 0.2×	24	825

Countries citing papers authored by Neil Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Neil Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Kumar. A scholar is included among the top collaborators of Neil Kumar 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 Neil Kumar. Neil Kumar 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:

8 of 8 papers shown

1.

Adesse, Daniel, et al.. (2024). The S1 subunits of SARS-CoV-2 variants differentially trigger the IL-6 signaling pathway in human brain endothelial cells and downstream impact on microglia activation. PubMed. 3(1). 7–15. 3 indexed citations

2.

Agarwal, Abhinav, et al.. (2023). A 316MP, 120FPS, High Dynamic Range CMOS Image Sensor for Next Generation Immersive Displays. Sensors. 23(20). 8383–8383. 1 indexed citations

3.

Kumar, Neil, et al.. (2008). Multipathway Model Enables Prediction of Kinase Inhibitor Cross-Talk Effects on Migration of Her2-Overexpressing Mammary Epithelial Cells. Molecular Pharmacology. 73(6). 1668–1678. 48 indexed citations

4.

Kumar, Neil, et al.. (2007). Quantitative analysis of Akt phosphorylation and activity in response to EGF and insulin treatment. Biochemical and Biophysical Research Communications. 354(1). 14–20. 22 indexed citations

5.

Kumar, Neil, Muhammad H. Zaman, Hyung‐Do Kim, & Douglas A. Lauffenburger. (2006). A High-Throughput Migration Assay Reveals HER2-Mediated Cell Migration Arising from Increased Directional Persistence. Biophysical Journal. 91(4). L32–L34. 20 indexed citations

6.

Kumar, Neil, Bart S. Hendriks, Kevin A. Janes, David de Graaf, & Douglas A. Lauffenburger. (2006). Applying computational modeling to drug discovery and development. Drug Discovery Today. 11(17-18). 806–811. 91 indexed citations

7.

Wolf‐Yadlin, Alejandro, Neil Kumar, Yi Zhang, et al.. (2006). Effects of HER2 overexpression on cell signaling networks governing proliferation and migration. Molecular Systems Biology. 2(1). 54–54. 190 indexed citations

8.

Kumar, Neil, Alejandro Wolf‐Yadlin, Forest M. White, & Douglas A. Lauffenburger. (2006). Modeling HER2 Effects on Cell Behavior from Mass Spectrometry Phosphotyrosine Data. PLoS Computational Biology. 3(1). e4–e4. 91 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