Fernanda Sperb‐Ludwig

520 citations
38 papers · 288 · h-index 11

Impact in

    • Metabolism and Genetic Disorders
  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism

Papers in

Fernanda Sperb‐Ludwig

35 papers receiving 285 citations

Peers

Fernanda Sperb‐Ludwig
Comparison fields: 5 of 54
  • Clinical Biochemistry 61
  • Physiology 39
  • Cell Biology 75
  • Physiology 100
  • Rheumatology 52
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Rebecca Mardach United States
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Citations per field
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Citations per year

Countries citing papers authored by Fernanda Sperb‐Ludwig

Since Specialization
Citations

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

Fields of papers citing papers by Fernanda Sperb‐Ludwig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernanda Sperb‐Ludwig. 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 Fernanda Sperb‐Ludwig. The network helps show where Fernanda Sperb‐Ludwig may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202025
2 201420
3 201719
4 201518
5 201317
6 201815
7 201415
8 201914
9 202114
10 201912
11 202011
12 20149
13 20159
14 20168
15 20178
16 20197
17 20146
18 20176
19 20196
20 20206

About Fernanda Sperb‐Ludwig

Fernanda Sperb‐Ludwig is a scholar working on Physiology, Molecular Biology, Clinical Biochemistry, Rheumatology and Organic Chemistry, having authored 38 papers that have together received 288 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (14 papers), Metabolism and Genetic Disorders (11 papers), Calcium signaling and nucleotide metabolism (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Growth and nutrition in plants (5 papers), Trypanosoma species research and implications (5 papers), Glycogen Storage Diseases and Myoclonus (5 papers) and Banana Cultivation and Research (4 papers). The work is most often cited by research in Clinical Biochemistry (61 citations), Physiology (39 citations), Cell Biology (75 citations), Physiology (100 citations) and Rheumatology (52 citations). Fernanda Sperb‐Ludwig has collaborated with scholars based in Brazil, Germany and Netherlands. Frequent co-authors include Ida Vanessa Döederlein Schwartz, Henk J. Blom, Charles Marques Lourenço, Dirceu Maximino Fernandes, Roberto Lyra Villas Bôas, Renata Voltolini Velho, Carolina Fischinger Moura de Souza, Eurico Camargo Neto, Erlane Marques Ribeiro and Kristiane Michelin‐Tirelli. Their work appears in journals such as Orphanet Journal of Rare Diseases, Molecular Genetics and Metabolism, Clinica Chimica Acta, Horticultura Brasileira and Gene.

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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