I. Haas

692 citations
17 papers · 432 · h-index 7

Impact in

Papers in

    • Cancer Cells and Metastasis 4
    • HER2/EGFR in Cancer Research 2
    • RNA Interference and Gene Delivery 2

I. Haas

15 papers receiving 417 citations

Peers

I. Haas
Comparison fields: 5 of 50
  • Otorhinolaryngology 209
  • Oncology 203
  • Oral Surgery 20
  • Pulmonary and Respiratory Medicine 75
  • Radiology, Nuclear Medicine and Imaging 52
Replace Ilkka Heikkinen with:
Ilkka Heikkinen Finland
Cheng-Hsu Wang Taiwan
M Kajanti Finland
Jayson S. Greenberg United States
Pankaj Pande India
Stein Lybak Norway
S. Patel United States
Tania Rodríguez‐Santamarta Spain
Hiroyuki Goda Japan
Zubaida Fida Hussain Pakistan
I. Haas relative to Ilkka Heikkinen Finland Ilkka Heikkinen's profile →
Citations per field
00.5×
Ilkka Heikkinen · 1×
Citations per year

Countries citing papers authored by I. Haas

Since Specialization
Citations

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

Fields of papers citing papers by I. Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside I. Haas, 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 I. Haas Line = papers co-authored together I. Haas links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002128
2 200181
3 199878
4
Antitumor activity of anti-epidermal growth factor receptor monoclonal antibodies and cisplatin in ten human head and neck squamous cell carcinoma lines.
199861
5 200232
6 199525
7 20037
8 19875
9 19954
10 20023
11 20003
12 19982
13 19991
14 19961
15 19961
16 20100
17 20100

About I. Haas

I. Haas is a scholar working on Oncology, Molecular Biology, Surgery, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 432 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Head and Neck Cancer Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA Interference and Gene Delivery (2 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (2 papers), Cancer Genomics and Diagnostics (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Otorhinolaryngology (209 citations), Oncology (203 citations), Oral Surgery (20 citations), Pulmonary and Respiratory Medicine (75 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). I. Haas has collaborated with scholars based in Germany, United States and Slovakia. Frequent co-authors include U. Ganzer, Thomas K. Hoffmann, H. Bier, U. Häuser, Rainer Engers, Anke Van Lierop, D. Häfner, P. Stasiecki, K. -A. Reiffen and P. Koldovský. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, ORL, Journal of Chromatography A, Cancer Immunology Immunotherapy and Laryngo-Rhino-Otologie.

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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