César Ramírez-Molina

1.2k total citations
8 papers, 139 citations indexed

About

César Ramírez-Molina is a scholar working on Spectroscopy, Immunology and Molecular Biology. According to data from OpenAlex, César Ramírez-Molina has authored 8 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Spectroscopy, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in César Ramírez-Molina's work include Analytical Chemistry and Chromatography (3 papers), Mast cells and histamine (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). César Ramírez-Molina is often cited by papers focused on Analytical Chemistry and Chromatography (3 papers), Mast cells and histamine (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). César Ramírez-Molina collaborates with scholars based in United Kingdom, Switzerland and Netherlands. César Ramírez-Molina's co-authors include Peter S. Marshall, David N. Mallett, Olivier Heudi, Dave Lugo, Mark Pullen, Martina Di Giovangiulio, Michael J. Skynner, Simon Peace, Guy E. Boeckxstaens and Robert J. Watson and has published in prestigious journals such as Gut, Journal of Chromatography A and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

César Ramírez-Molina

8 papers receiving 137 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
César Ramírez-Molina United Kingdom 8 46 34 30 19 19 8 139
S. Canali Italy 9 44 1.0× 50 1.5× 53 1.8× 27 1.4× 17 0.9× 18 322
Yuko Ogasawara Japan 6 14 0.3× 83 2.4× 12 0.4× 7 0.4× 9 0.5× 12 227
Lorella Di Donato Canada 3 29 0.6× 139 4.1× 22 0.7× 9 0.5× 9 0.5× 4 208
Chi-Chung Chan Canada 8 11 0.2× 47 1.4× 7 0.2× 7 0.4× 25 1.3× 13 254
Junchun Chen China 11 28 0.6× 148 4.4× 56 1.9× 21 1.1× 37 1.9× 32 331
Dennis Kubrak United States 7 9 0.2× 61 1.8× 9 0.3× 22 1.2× 7 0.4× 14 257
Maozhi Liang China 8 9 0.2× 69 2.0× 32 1.1× 40 2.1× 11 0.6× 22 251
Ditte M. Karpf Denmark 10 15 0.3× 41 1.2× 9 0.3× 5 0.3× 4 0.2× 16 268
H. Dutertre-Catella France 11 15 0.3× 67 2.0× 10 0.3× 32 1.7× 5 0.3× 26 323
Anne Rose United States 7 14 0.3× 35 1.0× 17 0.6× 11 0.6× 28 1.5× 11 157

Countries citing papers authored by César Ramírez-Molina

Since Specialization
Citations

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

Fields of papers citing papers by César Ramírez-Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by César Ramírez-Molina. 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 César Ramírez-Molina. The network helps show where César Ramírez-Molina may publish in the future.

Co-authorship network of co-authors of César Ramírez-Molina

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

All Works

8 of 8 papers shown
1.
Barker, Michael D., John Liddle, Francis Atkinson, et al.. (2018). Discovery of potent and selective Spleen Tyrosine Kinase inhibitors for the topical treatment of inflammatory skin disease. Bioorganic & Medicinal Chemistry Letters. 28(21). 3458–3462. 18 indexed citations
2.
Garton, Neil, Michael D. Barker, Emma J. Jones, et al.. (2016). Optimisation of a novel series of potent and orally bioavailable azanaphthyridine SYK inhibitors. Bioorganic & Medicinal Chemistry Letters. 26(19). 4606–4612. 8 indexed citations
3.
Bree, Sjoerd H. W. van, Pedro J. Gomez‐Pinilla, Fleur S. van de Bovenkamp, et al.. (2012). Inhibition of spleen tyrosine kinase as treatment of postoperative ileus. Gut. 62(11). 1581–1590. 29 indexed citations
5.
Ramírez-Molina, César, Olivier Heudi, Mark Pullen, & Peter S. Marshall. (2005). Study of bradykinin metabolism by rat lung tissue membranes and rat kidney brush border membranes by HPLC with inductively coupled plasma—mass spectrometry and orthogonal acceleration time-of-flight mass spectrometry. Journal of Peptide Science. 12(3). 220–226. 11 indexed citations
6.
Marshall, Peter S., et al.. (2004). Liquid chromatography coupled with inductively coupled plasma mass spectrometry in the pharmaceutical industry: selected examples. Journal of Chromatography A. 1056(1-2). 3–12. 20 indexed citations
7.
Marshall, Peter S., et al.. (2004). Liquid chromatography coupled with inductively coupled plasma mass spectrometry in the pharmaceutical industry: selected examples. Journal of Chromatography A. 1056(1-2). 3–12. 17 indexed citations
8.
Heudi, Olivier, César Ramírez-Molina, Peter S. Marshall, et al.. (2002). Investigation of Bradykinin metabolism in human and rat plasma in the presence of the dual ace/NEP inhibitors GW660511X and omapatrilat. Journal of Peptide Science. 8(11). 591–600. 13 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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