Anja Vales

1.3k citations
30 papers · 1.0k indexed · h-index 20

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 6
    • Acute Myeloid Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 2

Anja Vales

28 papers receiving 1.0k citations

Peers

Anja Vales
Comparison fields: 5 of 94
  • Hematology 282
  • Genetics 187
  • Immunology 338
  • Immunology and Allergy 68
  • Reproductive Medicine 74
Replace Tetsuo Nishiura with:
Tetsuo Nishiura Japan
Bernard Silver United States
Margarethe Geiger Austria
Satoru Hasuike Japan
Yasuhiro Horii Japan
Patrizia Cohen United Kingdom
Naoko Okayama Japan
Albertus T.J. Wierenga Netherlands
Jean-Marie Jaspar Belgium
Anja Vales relative to Tetsuo Nishiura Japan Tetsuo Nishiura's profile →
Citations per field
00.5×6.2×
Tetsuo Nishiura · 1×
Citations per year

Countries citing papers authored by Anja Vales

Since Specialization
Citations

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

Fields of papers citing papers by Anja Vales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20210
4 20218
5 202043
6 200925
7 200922
8 200919
9 200833
10 200731
11 200745
12 200756
13 20071
14 200634
15 200646
16 20051
17 200321
18 2000119
19 199919
20 199930

About Anja Vales

Anja Vales is a scholar working on Hematology, Genetics, Immunology, Transplantation and Immunology and Allergy, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mast cells and histamine (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Acute Myeloid Leukemia Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Hematology (282 citations), Genetics (187 citations), Immunology (338 citations), Immunology and Allergy (68 citations) and Reproductive Medicine (74 citations). Anja Vales has collaborated with scholars based in Austria, Japan and United States. Frequent co-authors include Bernd R. Binder, Peter Valent, Norbert Leitinger, Michael Blumer, Goran Mitulović, Joakim Huber, Joseph L. Witztum, Matthias Mayerhofer, Winfried F. Pickl and Karl J. Aichberger. Their work appears in journals such as Blood, Journal of Clinical Oncology, European Journal of Clinical Investigation, Fertility and Sterility and Transfusion.

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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