Daniel Parzy

4k citations
106 papers · 3.3k · h-index 33

Impact in

Papers in

Daniel Parzy

102 papers receiving 3.2k citations

Peers

Daniel Parzy
Comparison fields: 5 of 100
  • Public Health, Environmental and Occupational Health 1.9k
  • Parasitology 282
  • Cancer Research 138
  • Rheumatology 102
  • Organic Chemistry 213
Replace Elvira M. Saraiva with:
Elvira M. Saraiva Brazil
Carol Hopkins Sibley United States
Heidrun Moll Germany
J. David Haynes United States
Lars Hviid Denmark
María B. Cassera United States
Carsten Wrenger Brazil
Lyn‐Marié Birkholtz South Africa
Henry M. Staines United Kingdom
Cyrus J. Bacchi United States
Daniel Parzy relative to Elvira M. Saraiva Brazil Elvira M. Saraiva's profile →
Citations per field
00.5×2×2.9×
Elvira M. Saraiva · 1×
Citations per year

Countries citing papers authored by Daniel Parzy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Parzy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007244
2 1999215
3 2008189
4 2008107
5 2001105
6 2003103
7 199992
8 200189
9 200183
10 200074
11 199872
12 199871
13 201067
14 200261
15 199658
16 199857
17 200257
18 200055
19 199851
20 200948

About Daniel Parzy

Daniel Parzy is a scholar working on Public Health, Environmental and Occupational Health, Parasitology, Complementary and alternative medicine, Analytical Chemistry and Rheumatology, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Malaria Research and Control (73 papers), Vector-borne infectious diseases (12 papers), Bartonella species infections research (2 papers), Synthesis and bioactivity of alkaloids (2 papers), Research on Leishmaniasis Studies (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Phytochemistry and Biological Activities (2 papers) and Pharmaceutical Quality and Counterfeiting (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.9k citations), Parasitology (282 citations), Cancer Research (138 citations), Rheumatology (102 citations) and Organic Chemistry (213 citations). Daniel Parzy has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Bruno Pradines, Thierry Fusaı̈, Christian Doerig, Jérôme Desplans, Christophe Rogier, Véronique Sinou, Pietro Alano, Gordon Langsley, Bernard Davoust and Adama Tall. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Malaria Journal, American Journal of Tropical Medicine and Hygiene, Journal of Antimicrobial Chemotherapy and Annals of the New York Academy of Sciences.

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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