Maria Fälth

3.6k citations
31 papers · 2.6k indexed · 1 hit paper · h-index 24
Topics
Advanced Proteomics Techniques and Applications (11 papers)Mass Spectrometry Techniques and Applications (11 papers)Neuropeptides and Animal Physiology (6 papers)

In The Last Decade

Maria Fälth

31 papers receiving 2.5k citations

Hit Papers

Hepatitis B and D Viruses Exploit Sodium Taurocholate Co-...20132026201720212013200400600

Peers

Maria Fälth
Comparison fields: 5 of 122
  • Molecular Biology 1.4k
  • Epidemiology 635
  • Cancer Research 605
  • Spectroscopy 533
  • Hepatology 448
Replace Carles Rentero with:
Carles Rentero Spain
Rumin Zhang China
Kristoffer Rigbolt Denmark
Marta Bosch Spain
Francesc Tebar Spain
Yayoi Kimura Japan
Shawn S.‐C. Li Canada
Christian Preisinger Germany
Hongjun Shu United States
Sang Hoon Ha South Korea
Maria Fälth relative to Carles Rentero Spain Carles Rentero's profile →
Citations per field
00.5×10.5×
Carles Rentero · 1×
Citations per year

Countries citing papers authored by Maria Fälth

Since Specialization
Citations

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

Fields of papers citing papers by Maria Fälth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Fälth

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Fälth. A scholar is included among the top collaborators of Maria Fälth 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 Maria Fälth. Maria Fälth 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
#WorkIndexed citations
1 23
2
Hepatitis B and D Viruses Exploit Sodium Taurocholate Co-transporting Polypeptide for Species-Specific Entry into Hepatocytesbreakdown →
602
3 44
4 20
5 119
6 95
7 73
8 77
9 56
10 64
11 36
12 92
13 2
14 75
15 10
16 479
17 92
18 37
19 3
20 112

About Maria Fälth

Maria Fälth is a scholar working on Spectroscopy, Cellular and Molecular Neuroscience and Molecular Biology, having authored 31 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (11 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Hepatology (448 citations), Cancer Research (605 citations) and Spectroscopy (533 citations). Maria Fälth has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Holger Sültmann, Per E. Andrén, Jan C. Brase, Ruprecht Kuner, Tim Beißbarth, Marc Johannes, Thorsten Schlomm, Karl Sköld, Marcus Svensson and Alexander Haese. Their work appears in journals such as Bioinformatics, Gastroenterology and PLoS ONE.

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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