S. Romand

2.1k total citations
39 papers, 1.6k citations indexed

About

S. Romand is a scholar working on Parasitology, Epidemiology and Infectious Diseases. According to data from OpenAlex, S. Romand has authored 39 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Parasitology, 22 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in S. Romand's work include Toxoplasma gondii Research Studies (28 papers), Parasitic Infections and Diagnostics (13 papers) and Herpesvirus Infections and Treatments (13 papers). S. Romand is often cited by papers focused on Toxoplasma gondii Research Studies (28 papers), Parasitic Infections and Diagnostics (13 papers) and Herpesvirus Infections and Treatments (13 papers). S. Romand collaborates with scholars based in France, United States and United Kingdom. S. Romand's co-authors include P. Thulliez, O. C. H. Kwok, J. P. Dubey, J. P. Dubey, H. Ray Gamble, Francis Derouin, P. Thulliez, M. Hilali, Mary Pudney and Dolores E. Hill and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and American Journal of Obstetrics and Gynecology.

In The Last Decade

S. Romand

37 papers receiving 1.5k citations

Peers

S. Romand
Comparison fields: 5 of 71
  • Parasitology 1.3k
  • Epidemiology 752
  • Infectious Diseases 327
  • Virology 209
  • Agronomy and Crop Science 144
Replace Alvimar José da Costa with:
Alvimar José da Costa Brazil
M.C. Venturini Argentina
P. Thulliez France
Dubey Jp United States
Pavlo Maksimov Germany
Paul M. Bartley United Kingdom
Gastón Moré Argentina
Angela McGuire United States
Hilda Fátima Jesus Pena Brazil
Shiv K. Verma United States
Alvimar José da Costa Brazil View profile →
Citations per field, relative to S. Romand
S. Romand · 1×
Citations per year, relative to S. Romand
S. Romand · 1×

Countries citing papers authored by S. Romand

Since Specialization
Citations

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

Fields of papers citing papers by S. Romand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Romand

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 153
2 54
3 14
4 224
5 34
6 21
7 85
8 19
9 130
10 16
11 48
12 25
13 47
14 71
15 43
16 142
17 8
18 10
19 0
20 19

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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