A. Hässig

1.1k citations
48 papers · 385 · h-index 12

Impact in

  • Hematology top 10%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Phytochemicals and Antioxidant Activities

Papers in

    • Blood groups and transfusion 12
    • Immunodeficiency and Autoimmune Disorders 11

A. Hässig

39 papers receiving 321 citations

Peers

A. Hässig
Comparison fields: 5 of 95
  • Hematology 88
  • Biochemistry 32
  • Immunology 89
  • Genetics 29
  • Critical Care and Intensive Care Medicine 11
Replace Knud‐Erik Sjølin with:
Knud‐Erik Sjølin Denmark
Alessia Donnini Italy
Henry E. Weimer United States
Irene Nowowiejski United States
I. Kalickman Israel
Shahida Khan Saudi Arabia
Agnès Dhur France
Tomofusa Usui Japan
Takao Takahashi Japan
Ralph E. Bernstein South Africa
A. Hässig relative to Knud‐Erik Sjølin Denmark Knud‐Erik Sjølin's profile →
Citations per field
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Knud‐Erik Sjølin · 1×
Citations per year

Countries citing papers authored by A. Hässig

Since Specialization
Citations

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

Fields of papers citing papers by A. Hässig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199961
2 196155
3 195427
4 196024
5 199623
6 198620
7 198416
8 199815
9 197214
10 200011
11
[Antibody deficiency syndrome; agammaglobulinemia].
195611
12 197811
13 19649
14
[Clinical forms of the antibody deficiency syndrome].
19589
15 19568
16
An immuno-chemical study of isolated serum protein fractions.
19538
17 19627
18 19554
19 19744
20
[Presence of the Rh gen Eu in an Eastern Swiss family].
19524

About A. Hässig

A. Hässig is a scholar working on Hematology, Immunology, Epidemiology, Genetics and Physiology, having authored 48 papers that have together received 385 indexed citations. Recurring topics across this work include Blood groups and transfusion (12 papers), Immunodeficiency and Autoimmune Disorders (11 papers), Blood disorders and treatments (4 papers), Vitamin C and Antioxidants Research (3 papers), Diabetes and associated disorders (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Hematology (88 citations), Biochemistry (32 citations), Immunology (89 citations), Genetics (29 citations) and Critical Care and Intensive Care Medicine (11 citations). A. Hässig has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include H. Aebi, R. Bütler, S Barandun, W Siegenthaler, S Moeschlin, Wanwan Liang, C Gasser, Urs E. Nydegger, Kurt Blaser and M Jeannet. Their work appears in journals such as Vox Sanguinis, Journal of Molecular Medicine, Helvetica Chimica Acta, Blood and Human Heredity.

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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