Eva Surmacz

4.7k citations
64 papers · 3.9k indexed · h-index 35

Impact in

Papers in

Eva Surmacz

64 papers receiving 3.8k citations

Peers

Eva Surmacz
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 977
  • Cancer Research 1.1k
  • Oncology 1.0k
  • Endocrinology, Diabetes and Metabolism 606
  • Epidemiology 1.1k
Replace Cristina L. Ronchi with:
Cristina L. Ronchi Italy
Mariusz Koda Poland
Yasushi Matsuki Japan
Keiko Iwaisako Japan
Donald P. Cameron Australia
Margaret C. Eggo United Kingdom
Reid Huber United States
Qi Cao China
Dennis Bruemmer United States
Régine Merval France
Eva Surmacz relative to Cristina L. Ronchi Italy Cristina L. Ronchi's profile →
Citations per field
00.5×4.4×
Cristina L. Ronchi · 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-authorship network

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
#Work
1 201520
2 201334
3 20139
4 201230
5 2011149
6 200927
7 20097
8 200894
9 200823
10 200821
11 200723
12 2007191
13 200793
14 200636
15 200586
16 2005490
17 200455
18 200353
19 200273
20 200148

About Eva Surmacz

Eva Surmacz is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Cancer Research, Nutrition and Dietetics and Physiology, having authored 64 papers that have together received 3.9k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (24 papers), Growth Hormone and Insulin-like Growth Factors (15 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Adipose Tissue and Metabolism (13 papers), Estrogen and related hormone effects (12 papers), Biochemical Analysis and Sensing Techniques (11 papers), Metabolism, Diabetes, and Cancer (9 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (977 citations), Cancer Research (1.1k citations), Oncology (1.0k citations), Endocrinology, Diabetes and Metabolism (606 citations) and Epidemiology (1.1k citations). Eva Surmacz has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Cecilia Garofalo, Sandra Cascio, Antonio Russo, Rita Ferla, S Sułkowski, Mariusz Koda, M Sulkowska, Diego Sisci, László Ötvös and Monica Bartucci. Their work appears in journals such as Journal of Cellular Physiology, Annals of Oncology, Oncogene, Journal of Biological Chemistry and BMC Cancer.

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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