Richard J. Sciotti

2.7k citations
49 papers · 1.7k · h-index 25

Impact in

Papers in

Richard J. Sciotti

47 papers receiving 1.7k citations

Peers

Richard J. Sciotti
Comparison fields: 5 of 98
  • Organic Chemistry 642
  • Public Health, Environmental and Occupational Health 563
  • Parasitology 99
  • Epidemiology 356
  • Molecular Medicine 52
Replace Vikash Kumar with:
Vikash Kumar India
José María Pérez-Victoria Spain
Robert T. Jacobs United States
Kohei Yokoyama United States
Neena Goyal India
Mohammad Imran Siddiqi India
Esperanza Herreros Spain
Michael P. Pollastri United States
Edeildo Ferreira da Silva‐Júnior Brazil
Iris L. K. Wong Hong Kong
Richard J. Sciotti relative to Vikash Kumar India Vikash Kumar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Richard J. Sciotti

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Sciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Sciotti. 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 Richard J. Sciotti. The network helps show where Richard J. Sciotti may publish in the future.

Co-authors

The 25 scholars most cited alongside Richard J. Sciotti, 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 Richard J. Sciotti Line = papers co-authored together Richard J. Sciotti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003190
2 2002115
3 1994105
4 1998100
5 201296
6 201470
7 201967
8 200961
9 201559
10 201959
11 201355
12 200251
13 201145
14 201442
15 200142
16 201439
17 201939
18 201433
19 201733
20 201330

About Richard J. Sciotti

Richard J. Sciotti is a scholar working on Public Health, Environmental and Occupational Health, Organic Chemistry, Epidemiology, Infectious Diseases and Molecular Biology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (18 papers), Trypanosoma species research and implications (18 papers), Synthesis and Biological Evaluation (11 papers), Malaria Research and Control (8 papers), Asymmetric Synthesis and Catalysis (5 papers), Synthesis and biological activity (4 papers), Synthetic Organic Chemistry Methods (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Organic Chemistry (642 citations), Public Health, Environmental and Occupational Health (563 citations), Parasitology (99 citations), Epidemiology (356 citations) and Molecular Medicine (52 citations). Richard J. Sciotti has collaborated with scholars based in United States, Serbia and United Kingdom. Frequent co-authors include William R. Roush, Sandra Koterski, Christian J. Carlson, Cristina M. Rondinone, Susan E. Leed, Michael P. Pollastri, Diana Caridha, Patricia J. Lee, Stevan W. Djurić and Ana Rodrı́guez. Their work appears in journals such as Journal of Medicinal Chemistry, Malaria Journal, ACS Infectious Diseases, ACS Medicinal Chemistry Letters and Bioorganic & Medicinal Chemistry Letters.

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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