Caroline Murphy

74 total papers · 794 total citations
20 papers, 477 citations indexed

About

Caroline Murphy is a scholar working on Molecular Biology, Environmental Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Caroline Murphy has authored 20 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Environmental Chemistry and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Caroline Murphy's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Caroline Murphy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). Caroline Murphy collaborates with scholars based in Ireland, United States and Qatar. Caroline Murphy's co-authors include Richard O’Kennedy, Sushrut Arora, B. Vijayalakshmi Ayyar, Robert A. Steinberg, David A. Yphantis, Seán Fitzgerald, Hui Ma, Joe Silke, Edwina Stack and Christine E. Loscher and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Caroline Murphy

19 papers receiving 464 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Caroline Murphy	312	141	108	46	39	20	477
Zhijun Tan	375 1.2×	207 1.5×	83 0.8×	14 0.3×	44 1.1×	30	459
Janne Leivo	414 1.3×	105 0.7×	105 1.0×	12 0.3×	15 0.4×	22	521
Sang Wook Oh	250 0.8×	26 0.2×	188 1.7×	38 0.8×	22 0.6×	17	415
Patrick J. McEnaney	379 1.2×	214 1.5×	38 0.4×	8 0.2×	14 0.4×	14	533
Jianjun Hou	317 1.0×	25 0.2×	80 0.7×	31 0.7×	18 0.5×	24	467
Anne Zeck	228 0.7×	106 0.8×	54 0.5×	26 0.6×	186 4.8×	20	528
Mai Yoshikawa	156 0.5×	65 0.5×	51 0.5×	25 0.5×	6 0.2×	16	450
Barbara Meckelein	239 0.8×	33 0.2×	76 0.7×	98 2.1×	7 0.2×	18	524
Liyun Liu	279 0.9×	15 0.1×	49 0.5×	25 0.5×	29 0.7×	42	468
Jing Zhang	132 0.4×	82 0.6×	21 0.2×	13 0.3×	45 1.2×	20	433

Countries citing papers authored by Caroline Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Caroline Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Murphy

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

All Works

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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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