Ivan L. Pinto

1.4k citations
37 papers · 1.1k indexed · h-index 20

Ivan L. Pinto

37 papers receiving 1.0k citations

Peers

Ivan L. Pinto
Comparison fields: 5 of 80
  • Organic Chemistry 489
  • Biochemistry 78
  • Cancer Research 126
  • Molecular Biology 507
  • Pharmacology 106
Replace Deirdre M. B. Hickey with:
Deirdre M. B. Hickey United Kingdom
John K. Dickson United States
Richard Sulsky United States
Soumya P. Sahoo United States
Curt D. Haffner United States
Thomas Harrity United States
Renata M. Oballa Canada
Hisashi Shinkai Japan
Johannes D. Aebi Switzerland
E H Ulm United States
Ivan L. Pinto relative to Deirdre M. B. Hickey United Kingdom Deirdre M. B. Hickey's profile →
Citations per field
00.5×1.6×
Deirdre M. B. Hickey · 1×
Citations per year

Countries citing papers authored by Ivan L. Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Ivan L. Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan L. Pinto. 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 Ivan L. Pinto. The network helps show where Ivan L. Pinto may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ivan L. Pinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ivan L. Pinto Line = papers co-authored together Ivan L. Pinto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Open Source ERP Applications: A Reality Check for Their Possible Adoption and Use in Teaching Business Process Integration.
20101
2 200424
3 2003100
4 200225
5 200234
6 20018
7 200113
8 2001231
9 200024
10 200025
11 200058
12 199928
13 199930
14 199966
15 199123
16 199136
17 19914
18 199032
19 19893
20 198855

About Ivan L. Pinto

Ivan L. Pinto is a scholar working on Organic Chemistry, Spectroscopy and Pharmacology, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Synthesis and Biological Evaluation (5 papers), Blood disorders and treatments (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Organic and Inorganic Chemical Reactions (4 papers), Synthesis of Organic Compounds (4 papers), Asymmetric Synthesis and Catalysis (3 papers) and Cyclopropane Reaction Mechanisms (3 papers). The work is most often cited by research in Organic Chemistry (489 citations), Biochemistry (78 citations) and Cancer Research (126 citations). Ivan L. Pinto has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Stephen A. Smith, Richard L. Jarvest, Colin H. Macphee, Derek R. Buckle, David G. Smith, Philip J. Parsons, Jonathan Clayden, Alexander J. Hill, Lisa Patel and Keith E. Suckling. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Medicinal Chemistry, Journal of the Chemical Society Perkin Transactions 1 and Synlett.

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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