Júlia Németh

2.5k citations
29 papers · 1.8k indexed · 1 hit paper · h-index 16

Júlia Németh

29 papers receiving 1.8k citations

Hit Papers

S100A8 and S100A9 in inflammation and cancer5862006202620122019100200300400500

Peers

Júlia Németh
Comparison fields: 5 of 100
  • Clinical Biochemistry 370
  • Immunology 618
  • Cancer Research 285
  • Neurology 117
  • Molecular Biology 925
Replace Peter Huebener with:
Peter Huebener Germany
Jong Sung Park South Korea
Ichiaki Ito Japan
Toshiaki Nakano Japan
Guadalupe Ortiz-Muñoz Spain
J Ryan United States
Nikki Feirt United States
Victor van Hinsbergh Netherlands
David M. Habiel United States
Akihiro Yamaguchi Japan
Júlia Németh relative to Peter Huebener Germany Peter Huebener's profile →
Citations per field
00.5×3.5×
Peter Huebener · 1×
Citations per year

Countries citing papers authored by Júlia Németh

Since Specialization
Citations

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

Fields of papers citing papers by Júlia Németh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202010
3 20207
4 201377
5 201216
6 20114
7 201020
8 201067
9 200915
10 2009198
11 200931
12 200926
13 2009129
14 200817
15 2008327
16
S100A8 and S100A9 in inflammation and cancerbreakdown →
2006586
17 200640
18 200623
19 200537
20
[Preoperative evaluation of gastric adenocarcinomas: comparison of CT results with surgical and patholgic results].
19999

About Júlia Németh

Júlia Németh is a scholar working on Clinical Biochemistry, Neurology, Cancer Research, Immunology and Hematology, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Barrier Structure and Function Studies (4 papers), Immune Response and Inflammation (4 papers), Advanced Glycation End Products research (4 papers), Neonatal Respiratory Health Research (3 papers), Multiple Myeloma Research and Treatments (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Clinical Biochemistry (370 citations), Immunology (618 citations), Cancer Research (285 citations), Neurology (117 citations) and Molecular Biology (925 citations). Júlia Németh has collaborated with scholars based in Germany, Hungary and Israel. Frequent co-authors include Peter Angel, Jochen Heß, Christoffer Gebhardt, Astrid Riehl, Angelika Bierhaus, Bernd Arnold, Peter P. Nawroth, Gerhard Fürstenberger, Karin Müller‐Decker and Alexander Enk. Their work appears in journals such as Pathology & Oncology Research, Cell Communication and Signaling, Hepatology, Clinical Chemistry and Laboratory Medicine (CCLM) and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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