Phillip Ma

528 total citations
23 papers, 399 citations indexed

About

Phillip Ma is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Phillip Ma has authored 23 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Organic Chemistry and 4 papers in Epidemiology. Recurrent topics in Phillip Ma's work include Chemical Synthesis and Analysis (4 papers), Platelet Disorders and Treatments (3 papers) and Click Chemistry and Applications (2 papers). Phillip Ma is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Platelet Disorders and Treatments (3 papers) and Click Chemistry and Applications (2 papers). Phillip Ma collaborates with scholars based in United States. Phillip Ma's co-authors include Victor S. Martı́n, S. M. VITI, K. B. SHARPLESS, Kenneth M. Wannemacher, Linhua Zhang, Timothy J. Stalker, T. Costello, Haoyang Li, Andrea J. Robinson and Liang‐Nian He and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and The Journal of Organic Chemistry.

In The Last Decade

Phillip Ma

19 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Ma United States 9 251 114 40 39 35 23 399
Scott H. Watterson United States 17 508 2.0× 181 1.6× 18 0.5× 36 0.9× 26 0.7× 32 707
Philip Ma United States 13 267 1.1× 169 1.5× 18 0.5× 44 1.1× 46 1.3× 20 422
Mark A. Wolf Netherlands 17 495 2.0× 71 0.6× 14 0.3× 46 1.2× 61 1.7× 42 880
Jerry Evarts United States 10 239 1.0× 133 1.2× 27 0.7× 19 0.5× 18 0.5× 14 340
Tai‐Yuen Yue United States 10 325 1.3× 140 1.2× 53 1.3× 43 1.1× 82 2.3× 18 516
Kenneth L. Granberg Sweden 11 393 1.6× 148 1.3× 13 0.3× 21 0.5× 122 3.5× 21 568
Toshiyuki Seki Japan 12 123 0.5× 102 0.9× 9 0.2× 23 0.6× 32 0.9× 34 386
Jörg Habermann Germany 13 426 1.7× 284 2.5× 34 0.8× 18 0.5× 35 1.0× 20 669
Jan-Erik Nyström Sweden 9 214 0.9× 129 1.1× 108 2.7× 19 0.5× 38 1.1× 17 552
D. Sreenu India 15 429 1.7× 261 2.3× 10 0.3× 15 0.4× 39 1.1× 27 693

Countries citing papers authored by Phillip Ma

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Ma

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

All Works

20 of 20 papers shown
1.
Pita, Mario A., et al.. (2025). Homeless Services Data vs Health Records to Recognize Homelessness. JAMA Health Forum. 6(11). e255328–e255328.
2.
Yin, Ying, Yijun Shao, Phillip Ma, Qing Zeng‐Treitler, & Stuart J. Nelson. (2025). Machine-Learned Codes from EHR Data Predict Hard Outcomes Better than Human-Assigned ICD Codes. Machine Learning and Knowledge Extraction. 7(2). 36–36.
3.
Workman, T. Elizabeth, Joel Kupersmith, Phillip Ma, et al.. (2024). A Comparison of Veterans with Problematic Opioid Use Identified through Natural Language Processing of Clinical Notes versus Using Diagnostic Codes. Healthcare. 12(7). 799–799. 4 indexed citations
4.
Mower, William R., Thomas E. Akie, Ravindra K. Gupta, et al.. (2024). Blunt Head Injury in the Elderly: Analysis of the NEXUS II Injury Cohort. Annals of Emergency Medicine. 83(5). 457–466. 5 indexed citations
5.
Nelson, Stuart J., Ying Yin, Yijun Shao, et al.. (2024). Are ICD codes reliable for observational studies? Assessing coding consistency for data quality. Digital Health. 10. 599940768–599940768. 4 indexed citations
6.
Goulet, Joseph L., Yan Cheng, William C. Becker, et al.. (2023). Opioid use and opioid use disorder in mono and dual-system users of veteran affairs medical centers. Frontiers in Public Health. 11. 1148189–1148189. 1 indexed citations
7.
Litman, Ethan, et al.. (2023). Recent trends in tranexamic acid use during postpartum hemorrhage in the United States. Journal of Thrombosis and Thrombolysis. 55(4). 742–746. 1 indexed citations
8.
Yin, Ying, Korey Capozza, Yijun Shao, et al.. (2022). What are Patients Saying about Their Experience with Atopic Dermatitis? Insights from a Machine Learning Analysis of Online Comments. SHILAP Revista de lepidopterología. 2(3). e100–e100. 4 indexed citations
9.
Ma, Phillip & Qing Zeng‐Treitler. (2021). USE OF TWO TOPIC MODELING METHODS TO INVESTIGATE COVID VACCINE HESITANCY. 8 indexed citations
10.
Wannemacher, Kenneth M., et al.. (2011). Regulating thrombus growth and stability to achieve an optimal response to injury. Journal of Thrombosis and Haemostasis. 9. 66–75. 54 indexed citations
12.
Robinson, Andrea J., et al.. (2001). Highly Enantioselective Synthesis of α,β-Diaminopropanoic Acid Derivatives Using a Catalytic Asymmetric Hydrogenation Approach. The Journal of Organic Chemistry. 66(12). 4141–4147. 33 indexed citations
13.
Harlow, Richard L., et al.. (1999). Polymorph Determination for the gp IIb/IIIa Antagonist, Roxifiban, Using a Combination of Electron Diffraction and Synchrotron X-ray Powder Diffraction Techniques. Journal of Pharmaceutical Sciences. 88(3). 297–301. 8 indexed citations
14.
Williams, Reed C., Christopher M. Riley, Kenneth W. Sigvardson, et al.. (1998). Pharmaceutical development and specification of stereoisomers. Journal of Pharmaceutical and Biomedical Analysis. 17(6-7). 917–924. 19 indexed citations
15.
Zhang, Linhua, et al.. (1997). The Enantiospecific Synthesis of an Isoxazoline. A RGD Mimic Platelet GPIIb/IIIa Antagonist. The Journal of Organic Chemistry. 62(8). 2466–2470. 53 indexed citations
16.
Zhang, Linhua, Jaan A. Pesti, T. Costello, et al.. (1996). An Efficient Synthesis of Cyclic RGD Peptides as Antithrombotic Agents. The Journal of Organic Chemistry. 61(15). 5180–5185. 4 indexed citations
17.
Ma, Phillip, et al.. (1996). ChemInform Abstract: The Chiral Specific Synthesis of DMP 754, a Platelet GP IIb/IIIa Antagonist.. ChemInform. 27(40). 1 indexed citations
18.
Zhang, Linhua, Walter Meier, T. Costello, et al.. (1995). Pictet-Spengler reaction in trifluoroacetic acid. Large scale synthesis of pyridoindolobenzodiazepine as an atypical antipsychotic agent. Tetrahedron Letters. 36(46). 8387–8390. 24 indexed citations
19.
Wong, Pancras C., Paul E. Aldrich, Andrew T. Chiu, et al.. (1993). Pharmacology of 2-amino-1,4-dihydro-4-(2-[4-[4-(2-methoxyphenyl)-1- piperazinyl]butylsulfinyl]phenyl)-6-methyl-5-nitro-3-pyridine carboxylic acid methyl ester (XB513), a novel calcium agonist with alpha-1 adrenergic receptor antagonistic.. Journal of Pharmacology and Experimental Therapeutics. 265(3). 1088–1095. 2 indexed citations
20.
Ma, Phillip, et al.. (1982). ChemInform Abstract: SYNTHESIS OF SACCHARIDES AND RELATED POLYHYDROXYLATED NATURAL PRODUCTS. 2. SIMPLE DEOXYALDITOLS. Chemischer Informationsdienst. 13(37). 21 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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