Chris McNulty

544 total citations
9 papers, 401 citations indexed

About

Chris McNulty is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Chris McNulty has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Biomedical Engineering, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Chris McNulty's work include Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Crystallization and Solubility Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). Chris McNulty is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Crystallization and Solubility Studies (2 papers) and 3D Printing in Biomedical Research (2 papers). Chris McNulty collaborates with scholars based in United States and South Korea. Chris McNulty's co-authors include Örn Almarsson, Sherry L. Morissette, Hongming Chen, Matthew L. Peterson, Anthony V. Lemmo, Michael J. Cima, Javier P. Gonzalez-Zugasti, Stephen J. Ellis, David Putnam and Szu‐Wen Wang and has published in prestigious journals such as Journal of the American Chemical Society, Scientific Reports and Pharmaceutical Research.

In The Last Decade

Chris McNulty

9 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris McNulty United States 8 169 95 91 80 65 9 401
Zedong Dong United States 11 206 1.2× 157 1.7× 48 0.5× 134 1.7× 201 3.1× 15 558
F. C. Wireko United States 12 156 0.9× 31 0.3× 85 0.9× 98 1.2× 110 1.7× 35 579
Yue Gui United States 14 229 1.4× 135 1.4× 69 0.8× 53 0.7× 107 1.6× 21 431
James A. McCauley United States 9 258 1.5× 55 0.6× 69 0.8× 120 1.5× 56 0.9× 17 441
A. C. Blackburn United States 12 236 1.4× 66 0.7× 108 1.2× 108 1.4× 85 1.3× 54 568
Helen Blade United Kingdom 11 168 1.0× 37 0.4× 64 0.7× 134 1.7× 37 0.6× 24 316
Anthony V. Lemmo United States 9 143 0.8× 64 0.7× 61 0.7× 245 3.1× 140 2.2× 12 731
A. Bashir‐Hashemi United States 16 204 1.2× 54 0.6× 108 1.2× 105 1.3× 190 2.9× 35 757
Robert A. Carlton United States 11 173 1.0× 55 0.6× 81 0.9× 144 1.8× 35 0.5× 28 349
Ewelina Wielgus Poland 13 106 0.6× 24 0.3× 61 0.7× 49 0.6× 98 1.5× 43 357

Countries citing papers authored by Chris McNulty

Since Specialization
Citations

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

Fields of papers citing papers by Chris McNulty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris McNulty

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

All Works

9 of 9 papers shown
1.
Deoni, Sean, Jennifer Beauchemin, Viren D’Sa, et al.. (2022). Development of a mobile low-field MRI scanner. Scientific Reports. 12(1). 5690–5690. 58 indexed citations
2.
Tetlow, Gemma, et al.. (2018). How to fix the funding of health and social care. 1 indexed citations
3.
Melnikova, Irena, et al.. (2007). Combination of automated high throughput platforms, flow cytometry, and hierarchical clustering to detect cell state. Cytometry Part A. 71A(1). 16–27. 11 indexed citations
4.
Wang, Szu‐Wen, et al.. (2004). Determination of P‐glycoprotein inhibition by excipients and their combinations using an integrated high‐throughput process. Journal of Pharmaceutical Sciences. 93(11). 2755–2767. 48 indexed citations
5.
Gardner, Colin, Örn Almarsson, Hongming Chen, et al.. (2004). Application of high throughput technologies to drug substance and drug product development. Computers & Chemical Engineering. 28(6-7). 943–953. 56 indexed citations
6.
Chen, Hongming, Zhong Zhang, Chris McNulty, et al.. (2003). A High-Throughput Combinatorial Approach for the Discovery of a Cremophor EL-Free Paclitaxel Formulation. Pharmaceutical Research. 20(8). 1302–1308. 39 indexed citations
7.
Almarsson, Örn, Magali B. Hickey, Matthew L. Peterson, et al.. (2003). High-Throughput Surveys of Crystal Form Diversity of Highly Polymorphic Pharmaceutical Compounds. Crystal Growth & Design. 3(6). 927–933. 63 indexed citations
8.
Peterson, Matthew L., Sherry L. Morissette, Chris McNulty, et al.. (2002). Iterative High-Throughput Polymorphism Studies on Acetaminophen and an Experimentally Derived Structure for Form III. Journal of the American Chemical Society. 124(37). 10958–10959. 118 indexed citations
9.
Bright, Thomas P. & Chris McNulty. (1991). Suspected Central Nervous System Toxicity from Inadvertent Nonsteroidal Antiinflammatory Drug Overdose. DICP. 25(10). 1066–1067. 7 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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