Eva Surmacz

65 papers receiving 4k citations

Peers

Eva Surmacz
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 509
  • Cancer Research 810
  • Oncology 1k
  • Epidemiology 932
  • Endocrinology, Diabetes and Metabolism 456
Replace Cecilia Garofalo with:
Cecilia Garofalo Italy
Hiroaki Taniguchi Japan
Chaojun Duan China
MARIOLA SULKOWSKA Poland
Qi Cao China
Ruben Rene Gonzalez-Perez United States
Ángel Díaz‐Lagares Spain
Kjell M. Elgjo Norway
Cuong Hoang‐Vu Germany
Alastair J. Strain United Kingdom
Eva Surmacz relative to Cecilia Garofalo Italy Cecilia Garofalo's profile →
Citations per field
00.5×2×2.5×
Cecilia Garofalo · 1×
Citations per year

Countries citing papers authored by Eva Surmacz

Since Specialization
Citations

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

Fields of papers citing papers by Eva Surmacz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005517
2 2006324
3 2007218
4 2010199
5 2000189
6 2011164
7 2004129
8 2003123
9 2011110
10 2007100
11 2008100
12 200795
13 200587
14 200276
15 200472
16 201371
17 200864
18 201063
19
Role of estrogen receptor alpha in modulating IGF-I receptor signaling and function in breast cancer.
200462
20 200160

About Eva Surmacz

Eva Surmacz is a scholar working on Endocrine and Autonomic Systems, Cancer Research, Genetics, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 65 papers that have together received 4.1k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (21 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Estrogen and related hormone effects (11 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Cancer, Lipids, and Metabolism (8 papers), Chemical Synthesis and Analysis (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (509 citations), Cancer Research (810 citations), Oncology (1k citations), Epidemiology (932 citations) and Endocrinology, Diabetes and Metabolism (456 citations). Eva Surmacz has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Cecilia Garofalo, Sandra Cascio, Antonio Dello Russo, Rita Ferla, Laszlo Jr Otvos, Mariusz Koda, Stanislaw Sulkowski, MARIOLA SULKOWSKA, Diego Sisci and Monica Bartucci. Their work appears in journals such as Journal of Cellular Physiology, Annals of Oncology, Oncogene, BMC Cancer and Breast Cancer Research and Treatment.

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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