Iris Albers

549 citations
9 papers · 388 · h-index 7

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 1
    • Pluripotent Stem Cells Research 1
    • Single-cell and spatial transcriptomics 1

Iris Albers

9 papers receiving 378 citations

Peers

Iris Albers
Comparison fields: 5 of 67
  • Hepatology 112
  • Developmental Neuroscience 12
  • Epidemiology 91
  • Immunology 53
  • Pharmacology 18
Replace Shaojun Ye with:
Shaojun Ye China
Debora Bizzaro Italy
Takeyasu Suda Japan
Minako Suzuki Japan
Weitao Que China
Farhana Amin United Kingdom
Brigitta Globke Germany
Peter Fellmer Germany
Matthew J. McConnell United States
Shashi Anand India
Iris Albers relative to Shaojun Ye China Shaojun Ye's profile →
Citations per field
00.5×1.5×
Shaojun Ye · 1×
Citations per year

Countries citing papers authored by Iris Albers

Since Specialization
Citations

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

Fields of papers citing papers by Iris Albers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1989210
2 201857
3 199936
4 201724
5 201724
6 199918
7 201917
8 20251
9
[Comparison of quantitative liver function tests to clinical, laboratory chemical and biopsy findings in patients with liver diseases].
19881

About Iris Albers

Iris Albers is a scholar working on Surgery, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 9 papers that have together received 388 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (2 papers), Dupuytren's Contracture and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper), Hemophilia Treatment and Research (1 paper), Pluripotent Stem Cells Research (1 paper), Liver Disease and Transplantation (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Hepatology (112 citations), Developmental Neuroscience (12 citations), Epidemiology (91 citations), Immunology (53 citations) and Pharmacology (18 citations). Iris Albers has collaborated with scholars based in Germany and United States. Frequent co-authors include H Hartmann, W Creutzfeldt, J Bircher, J. Zeichen, U. Bösch, Martijn van Griensven, Birgit Weinhold, Rita Gerardy‐Schahn, Anja Münster-Kühnel and P. Lobenhoffer. Their work appears in journals such as Archives of Orthopaedic and Trauma Surgery, Journal of the American Society of Nephrology, Journal of Neuroscience, Journal of Clinical Investigation and ChemBioChem.

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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