H Näher

698 citations
30 papers · 552 · h-index 12

Impact in

Papers in

    • Melanoma and MAPK Pathways 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • S100 Proteins and Annexins 2
    • T-cell and B-cell Immunology 2

H Näher

30 papers receiving 512 citations

Peers

H Näher
Comparison fields: 5 of 83
  • Microbiology 102
  • Reproductive Medicine 71
  • Immunology 158
  • Virology 22
  • Oncology 121
Replace Ilse Beckmann with:
Ilse Beckmann Netherlands
Simone Lipinski Germany
Sen-Lian Yang United States
Gila Arad Israel
R. Rowland Australia
Song Jiang United States
Olivier Vosters Belgium
Yufeng Yao China
Farah Idali Iran
Gopinath S. Palanisamy United States
H Näher relative to Ilse Beckmann Netherlands Ilse Beckmann's profile →
Citations per field
00.5×4.4×
Ilse Beckmann · 1×
Citations per year

Countries citing papers authored by H Näher

Since Specialization
Citations

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

Fields of papers citing papers by H Näher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199793
2 198869
3 199656
4 198541
5 198637
6
Interleukin-6 and its surrogate C-reactive protein are useful serum markers for monitoring metastasized malignant melanoma.
200035
7 200128
8 200227
9
Dynamics of T cells of L3T4 and Ly 2 phenotype within granulomas in murine listeriosis.
198524
10 198418
11 200114
12 200013
13 200211
14
Regression of metastatic angiosarcoma of the skin after systemic treatment with liposome-encapsulated doxorubicin and interferon-alpha.
199911
15 20019
16 19859
17 20008
18 19838
19
[Epstein-Barr virus infection--a lympho- and epitheliotropic infection].
19928
20 20017

About H Näher

H Näher is a scholar working on Molecular Biology, Immunology, Microbiology, Epidemiology and Oncology, having authored 30 papers that have together received 552 indexed citations. Recurring topics across this work include Reproductive tract infections research (5 papers), Melanoma and MAPK Pathways (4 papers), Listeria monocytogenes in Food Safety (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Viral-associated cancers and disorders (2 papers), T-cell and B-cell Immunology (2 papers), S100 Proteins and Annexins (2 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Microbiology (102 citations), Reproductive Medicine (71 citations), Immunology (158 citations), Virology (22 citations) and Oncology (121 citations). H Näher has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include Helmut Hahn, Martin Deichmann, W. Eggert‐Kruse, B. Runnebaum, G. Rohr, D Petzoldt, K. K. Sethi, V. Waldmann, Volker Daniel and Hans‐Peter Eck. Their work appears in journals such as British Journal of Cancer, Infection and Immunity, Melanoma Research, Human Reproduction and Medical 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.

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