Miklós Garami

13.1k citations
117 papers · 2.0k indexed · h-index 22

Miklós Garami

106 papers receiving 1.9k citations

Peers

Miklós Garami
Comparison fields: 5 of 112
  • Genetics 523
  • Neurology 392
  • Cancer Research 228
  • Pathology and Forensic Medicine 246
  • Molecular Biology 809
Replace Richard M. Green with:
Richard M. Green United States
F. Ries Luxembourg
Michiaki Abe Japan
Horst Schran United States
Uri Rozovski Israel
Giuseppe Opocher Italy
Pascale de Lonlay France
Justo Aznar Spain
Richard D. Patten United States
Lija Joseph United States
Miklós Garami relative to Richard M. Green United States Richard M. Green's profile →
Citations per field
00.5×3.2×
Richard M. Green · 1×
Citations per year

Countries citing papers authored by Miklós Garami

Since Specialization
Citations

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

Fields of papers citing papers by Miklós Garami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20242
5 20241
6 20242
7 20246
8 20231
9 20233
10 20231
11 20237
12 20228
13 201714
14 20164
15 20123
16
Early high-dose treatment: SCT results from the European High Risk Neuroblastoma Study
20111
17 20077
18
PCR based diagnosis of 21-hydroxylase gene defects in Slovak patients with congenital adrenal hyperplasia.
20003
19
[Survival of Ewing' s sarcoma patients in Hungary]
20001
20 199774

About Miklós Garami

Miklós Garami is a scholar working on Genetics, Neurology and Pediatrics, Perinatology and Child Health, having authored 117 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Neuroblastoma Research and Treatments (22 papers), Childhood Cancer Survivors' Quality of Life (17 papers), Sarcoma Diagnosis and Treatment (10 papers), Acute Lymphoblastic Leukemia research (6 papers), Vitamin D Research Studies (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Neutropenia and Cancer Infections (5 papers). The work is most often cited by research in Genetics (523 citations), Neurology (392 citations) and Cancer Research (228 citations). Miklós Garami has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include David G. Gardner, Jiangping Wu, Tong Cheng, Péter Hauser, László Bognár, Nada Jabado, Damien Faury, Jianming Wu, Faquan Liang and Katalin Dankó. Their work appears in journals such as Journal of Clinical Oncology, Journal of Pediatric Hematology/Oncology, Pathology & Oncology Research, Journal of the American College of Nutrition and Neuro-Oncology.

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