Amelie Lupp

149 papers receiving 5.3k citations

Amelie Lupp's Hit Papers

The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors 2023 · 307 citations
3070+1+3Years since publication100200300400

Peers

Amelie Lupp
Comparison fields: 5 of 136
  • Cellular and Molecular Neuroscience 852
  • Hepatology 309
  • Endocrinology, Diabetes and Metabolism 507
  • Oncology 803
  • Epidemiology 984
Replace Giovanni Rizzo with:
Giovanni Rizzo Italy
Mitsuru Seishima Japan
Martine Clozel Switzerland
Masakiyo Sasahara Japan
Harald Esterbauer Austria
Ping Yen Wei China
Phuong T. Le United States
Satoru Eguchi United States
Joaquı́n Arenas Spain
Masaru Iwai Japan
Amelie Lupp relative to Giovanni Rizzo Italy Giovanni Rizzo's profile →
Citations per field
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Giovanni Rizzo · 1×
Citations per year

Countries citing papers authored by Amelie Lupp

Since Specialization
Citations

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

Fields of papers citing papers by Amelie Lupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 152 papers — load more, or switch the sort, to bring in the rest.

#Work
1
THE CONCISE GUIDE TO PHARMACOLOGY 2021/22: G protein‐coupled receptors
Hit paper breakdown →
2021451
2
The Concise Guide to PHARMACOLOGY 2023/24: G protein-coupled receptors
Hit paper breakdown →
2023307
3 2017251
4 2015219
5 2018198
6 2016159
7 2012157
8 2020151
9 2015147
10 1987139
11 2011124
12
Comparing of IRS and Her2 as immunohistochemical scoring schemes in gastroenteropancreatic neuroendocrine tumors.
2012121
13 2012119
14 201790
15 201585
16 201083
17 200580
18 199277
19 200776
20 201272

About Amelie Lupp

Amelie Lupp is a scholar working on Pharmacology, Oncology, Hepatology, Epidemiology and Cellular and Molecular Neuroscience, having authored 152 papers that have together received 5.4k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (28 papers), Pharmacogenetics and Drug Metabolism (21 papers), Organ Transplantation Techniques and Outcomes (17 papers), Drug Transport and Resistance Mechanisms (16 papers), Neuroscience and Neuropharmacology Research (13 papers), Liver physiology and pathology (12 papers), Lung Cancer Research Studies (11 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (852 citations), Hepatology (309 citations), Endocrinology, Diabetes and Metabolism (507 citations), Oncology (803 citations) and Epidemiology (984 citations). Amelie Lupp has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Stefan Schulz, Daniel Kaemmerer, Jörg Sänger, Georg Hertting, David J. Dooley, Thomas J. Feuerstein, Ralph Markus Wirtz, Merten Hommann, G. Hertting and Richard Paul Baum. Their work appears in journals such as Experimental and Toxicologic Pathology, International Journal of Molecular Sciences, Scientific Reports, Oncotarget and PLoS ONE.

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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