Éva Simon

37 papers receiving 1.3k citations

Hit Papers

Defining high, medium and low impact prognostic factors for developing multiple sclerosis 2015 · 358 citations
3582015202620182022100200300

Peers

Éva Simon
Comparison fields: 5 of 96
  • Clinical Biochemistry 241
  • Pathology and Forensic Medicine 417
  • Neurology 259
  • Rheumatology 203
  • Cancer Research 156
Replace Shiuh‐Lin Hwang with:
Shiuh‐Lin Hwang Taiwan
George Theodossiadis Greece
William Krivit United States
Sharda G. Sabnis United States
Mario Damiano Toro Italy
Ludo Vanopdenbosch Belgium
Wajanat Jan United Kingdom
Αrgyris Τzouvelekis Greece
Patrizia Accorsi Italy
Maani Hakimi Germany
Éva Simon relative to Shiuh‐Lin Hwang Taiwan Shiuh‐Lin Hwang's profile →
Citations per field
00.5×10×20×26.8×
Shiuh‐Lin Hwang · 1×
Citations per year

Countries citing papers authored by Éva Simon

Since Specialization
Citations

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

Fields of papers citing papers by Éva Simon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Defining high, medium and low impact prognostic factors for developing multiple sclerosis
Hit paper breakdown →
2015358
2
Acute necrotizing encephalopathy of childhood: correlation of MR findings and clinical outcome.
2006136
3 2010117
4 200893
5 201286
6 200658
7 201152
8 200642
9 201337
10 200735
11 201333
12 201028
13 201427
14 200724
15 201522
16 201222
17
Administration of preemptive analgesia by diclofenac to prevent acute postcraniotomy headache.
201215
18 201714
19 200914
20
Maple syrup urine disease-treatment and outcome in patients of Turkish descent in Germany.
200512

About Éva Simon

Éva Simon is a scholar working on Clinical Biochemistry, Anesthesiology and Pain Medicine, Rheumatology, Biochemistry and Microbiology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Cancer Cells and Metastasis (4 papers), Anesthesia and Pain Management (4 papers), Biochemical and Molecular Research (3 papers), Anesthesia and Sedative Agents (3 papers), Pain Management and Opioid Use (3 papers), Hernia repair and management (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Clinical Biochemistry (241 citations), Pathology and Forensic Medicine (417 citations), Neurology (259 citations), Rheumatology (203 citations) and Cancer Research (156 citations). Éva Simon has collaborated with scholars based in Hungary, Germany and Spain. Frequent co-authors include U. Wendel, Christoph Röcken, Viktoria S. Warneke, Robert A. Zimmerman, Matthias P. Ebert, Mar Tintoré, Àlex Rovira, Georgina Arrambide, Alex Mun‐Ching Wong and Cheng‐Hong Toh. Their work appears in journals such as Journal of Inherited Metabolic Disease, Multiple Sclerosis Journal, PLoS ONE, Journal of the Neurological Sciences and British Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026