Falk Ehmann

1.7k citations
25 papers · 859 · h-index 14

Impact in

  • Immunology top 10%
    • Biosimilars and Bioanalytical Methods
    • Pharmacogenetics and Drug Metabolism

Papers in

Falk Ehmann

24 papers receiving 813 citations

Peers

Falk Ehmann
Comparison fields: 5 of 100
  • Immunology 373
  • Pharmacology 132
  • Statistics and Probability 90
  • Pediatrics, Perinatology and Child Health 169
  • Economics and Econometrics 231
Replace Jiang Liu with:
Jiang Liu United States
Yow‐Ming Wang United States
Jill Kolesar United States
Jeff Allen United States
Bertrand Pourroy France
Kosalaram Goteti United States
Marisa Papaluca United Kingdom
Jenny Zheng United States
Stefanie L. Groenland Netherlands
Daryl Sonnichsen United States
Falk Ehmann relative to Jiang Liu United States Jiang Liu's profile →
Citations per field
00.5×5.9×
Jiang Liu · 1×
Citations per year

Countries citing papers authored by Falk Ehmann

Since Specialization
Citations

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

Fields of papers citing papers by Falk Ehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012261
2 2013102
3 201596
4 201257
5 201656
6 201350
7 201433
8 202230
9 201328
10 201424
11 202122
12 202017
13 201616
14 202214
15 201310
16 20238
17 20068
18 20156
19 20156
20 20254

About Falk Ehmann

Falk Ehmann is a scholar working on Economics and Econometrics, Immunology, Statistics and Probability, Oncology and Pharmacology, having authored 25 papers that have together received 859 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (10 papers), Statistical Methods in Clinical Trials (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmaceutical Economics and Policy (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), CAR-T cell therapy research (3 papers), Pharmaceutical studies and practices (3 papers) and Biotechnology and Related Fields (3 papers). The work is most often cited by research in Immunology (373 citations), Pharmacology (132 citations), Statistics and Probability (90 citations), Pediatrics, Perinatology and Child Health (169 citations) and Economics and Econometrics (231 citations). Falk Ehmann has collaborated with scholars based in Netherlands, Germany and Sweden. Frequent co-authors include Marisa Papaluca, Christian K. Schneider, Martina Weise, Iordanis Gravanis, Camille Vleminckx, Marc Maliepaard, Markus Paulmichl, Marisa Papaluca‐Amati, Hans‐Karl Heim and Esa Heinonen. Their work appears in journals such as Nature Reviews Drug Discovery, Frontiers in Medicine, Clinical Pharmacology & Therapeutics, Nature Biotechnology and British Journal of Clinical Pharmacology.

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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