Elvira Haas

3.4k citations
35 papers · 2.8k indexed · 1 hit paper · h-index 22
Topics
NF-κB Signaling Pathways (8 papers)Cell death mechanisms and regulation (7 papers)Estrogen and related hormone effects (6 papers)

In The Last Decade

Elvira Haas

35 papers receiving 2.8k citations

Hit Papers

The Lymphotoxin-β Receptor Induces Different Patterns of ...20022026201020182002250500750

Peers

Elvira Haas
Comparison fields: 5 of 118
  • Molecular Biology 1.2k
  • Immunology 976
  • Cancer Research 818
  • Genetics 602
  • Oncology 466
Replace Kirsi Narko with:
Kirsi Narko Finland
Toshiya Tanaka Japan
Martine I. Darville Belgium
Yasuhiro Mitsuuchi United States
Mark J. Evans United States
Lesley M. Forrester United Kingdom
Sunshin Kim South Korea
Kin‐Mang Lau Hong Kong
Linda E. Greenbaum United States
Z Cao United States
Elvira Haas relative to Kirsi Narko Finland Kirsi Narko's profile →
Citations per field
00.5×3.4×
Kirsi Narko · 1×
Citations per year

Countries citing papers authored by Elvira Haas

Since Specialization
Citations

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

Fields of papers citing papers by Elvira Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elvira Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Elvira Haas. A scholar is included among the top collaborators of Elvira Haas 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 Elvira Haas. Elvira Haas 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 8
2 20
3 23
4 9
5 9
6 102
7 26
8 18
9 55
10 1
11 21
12 24
13 181
14 154
15 132
16 39
17 27
18 135
19 65
20 125

About Elvira Haas

Elvira Haas is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Cell death mechanisms and regulation (7 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Cancer Research (818 citations), Immunology (976 citations) and Endocrinology, Diabetes and Metabolism (452 citations). Elvira Haas has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Matthias Barton, Matthias R. Meyer, Carl F. Ware, Harald Wajant, Zhiwei Li, Constantin Makris, Yixue Cao, Michael Karin, Douglas R. Green and Emmanuel Dejardin. Their work appears in journals such as Journal of Biological Chemistry, Immunity and The Journal of Immunology.

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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