Jürgen Neumann

1.4k citations
16 papers · 1.2k indexed · 1 hit paper · h-index 11

Jürgen Neumann

16 papers receiving 1.2k citations

Hit Papers

A novel rapid assay for chloramphenicol acetyltransferase...7401987202620002013200400600

Peers

Jürgen Neumann
Comparison fields: 5 of 98
  • Virology 90
  • Immunology 369
  • Biological Psychiatry 30
  • Genetics 266
  • Molecular Biology 556
Replace Pia M. Martensen with:
Pia M. Martensen Denmark
Jonathan A. Harton United States
Masateru Hiyoshi Japan
Fabíola Attié de Castro Brazil
Paola Sestili Italy
Ken Dower United States
Mark P. Hayes United States
P J Morrissey Canada
Simon Yu United States
Michèle Algarté France
Jürgen Neumann relative to Pia M. Martensen Denmark Pia M. Martensen's profile →
Citations per field
00.5×3.1×
Pia M. Martensen · 1×
Citations per year

Countries citing papers authored by Jürgen Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201315
2 201116
3 2009139
4 20083
5 20071
6 200611
7 200516
8 20057
9 200385
10 2003114
11 200226
12 200117
13 19972
14 19943
15
A novel rapid assay for chloramphenicol acetyltransferase gene expressionbreakdown →
1987740
16 198014

About Jürgen Neumann

Jürgen Neumann is a scholar working on Immunology, Biological Psychiatry, Genetics, Emergency Medical Services and Neurology, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Herpesvirus Infections and Treatments (2 papers), Glioma Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Virology (90 citations), Immunology (369 citations), Biological Psychiatry (30 citations), Genetics (266 citations) and Molecular Biology (556 citations). Jürgen Neumann has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Norbert Koch, Anna Maria Eis‐Hübinger, Johannes Schmidt, Hubert Zirngibl, Dagmar von Bubnoff, Marina Scheler, Susanne Koch, Osamu Takikawa, Thomas Bieber and Georg Häcker. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Acta Neurochirurgica, FEBS Letters and Biological Chemistry.

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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