Anna Babińska

77 papers receiving 1.2k citations

Peers

Anna Babińska
Comparison fields: 5 of 100
  • Immunology and Allergy 357
  • Neurology 161
  • Hematology 190
  • Cancer Research 190
  • Endocrinology, Diabetes and Metabolism 201
Replace Alexander Schmeißer with:
Alexander Schmeißer Germany
Matina Economopoulou Germany
Vivian de Waard Netherlands
F W Luscinskas United States
Alvin W. Martin United States
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Anna Babińska relative to Alexander Schmeißer Germany Alexander Schmeißer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna Babińska

Since Specialization
Citations

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

Fields of papers citing papers by Anna Babińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200285
2 200085
3 199882
4 200073
5 201651
6 202345
7 200744
8 200744
9 200240
10 200739
11 200438
12 201137
13 200535
14 202134
15 200928
16 201126
17 201923
18 201021
19 199621
20 200020

About Anna Babińska

Anna Babińska is a scholar working on Surgery, Hematology, Immunology and Allergy, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (21 papers), Platelet Disorders and Treatments (16 papers), Adrenal and Paraganglionic Tumors (16 papers), Cancer, Hypoxia, and Metabolism (12 papers), Pituitary Gland Disorders and Treatments (11 papers), Hormonal Regulation and Hypertension (8 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). The work is most often cited by research in Immunology and Allergy (357 citations), Neurology (161 citations), Hematology (190 citations), Cancer Research (190 citations) and Endocrinology, Diabetes and Metabolism (201 citations). Anna Babińska has collaborated with scholars based in Poland, United States and Italy. Frequent co-authors include Elizabeth Kornecki, Yigal H. Ehrlich, Krzysztof Sworczak, Moro O. Salifu, Malgorzata B. Sobocka, Tomasz Sobocki, Mariana Markell, Renata Świątkowska−Stodulska, Maria Świątkowska and John H. Hartwig. Their work appears in journals such as Thrombosis and Haemostasis, Archives of Medical Science, Experimental and Clinical Endocrinology & Diabetes, Blood and American Journal of Physiology-Heart and Circulatory Physiology.

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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