Norbert Lang

1.0k citations
34 papers · 768 · h-index 18

Impact in

Papers in

Norbert Lang

32 papers receiving 729 citations

Peers

Norbert Lang
Comparison fields: 5 of 79
  • Reproductive Medicine 161
  • Obstetrics and Gynecology 126
  • Cancer Research 156
  • Oncology 210
  • Immunology 121
Replace Yoshihiko Nanbu with:
Yoshihiko Nanbu Japan
M. Pichon France
Avraham Geier Israel
Ariane de Agostini Switzerland
Kathryn E. Bass United States
Andrew N. Stephens Australia
Yanxia Chu United States
Bruce C. Moulton United States
Naim Shabani Germany
Hernan F. Acevedo United States
Norbert Lang relative to Yoshihiko Nanbu Japan Yoshihiko Nanbu's profile →
Citations per field
00.5×3.6×
Yoshihiko Nanbu · 1×
Citations per year

Countries citing papers authored by Norbert Lang

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001147
2 200184
3 200047
4 200041
5 199139
6 196438
7 199437
8 198836
9 199531
10 196528
11 196427
12 200226
13
[On the working mechanism of hormones. V. Influence of ecdysone on RNA metabolism in the epidermis of the blow-fly Calliphora erythrocephala].
196525
14 199522
15 196520
16 200219
17 196419
18 199817
19 19959
20
Growth regulation effects of gonadotropin induced steroidogenic response in human ovarian cancer.
20019

About Norbert Lang

Norbert Lang is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology and Genetics, having authored 34 papers that have together received 768 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (6 papers), Reproductive Biology and Fertility (4 papers), Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (2 papers), Gynecological conditions and treatments (2 papers), Entomological Studies and Ecology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Reproductive Medicine (161 citations), Obstetrics and Gynecology (126 citations), Cancer Research (156 citations), Oncology (210 citations) and Immunology (121 citations). Norbert Lang has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Constantin E. Sekeris, Gerhard Gebauer, Wolfram Jäger, Tanja Fehm, E. Merkle, L. Wildt, Andrea Hafner, П. Карлсон, Joachim R. Kalden and Ernst Beinder. Their work appears in journals such as Journal of Molecular Medicine, Tumor Biology, Life Sciences, Optics Express and International Journal of Radiation Oncology*Biology*Physics.

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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