Frank Ackermann

406 citations
13 papers · 293 · h-index 7

Impact in

Papers in

Frank Ackermann

12 papers receiving 267 citations

Peers

Frank Ackermann
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 155
  • Virology 24
  • Infectious Diseases 43
  • Epidemiology 37
  • Immunology 23
Replace W.M. Clouston with:
W.M. Clouston Australia
Silvia Gimeno Brias United Kingdom
Michael Whetsell United States
Wentong Guo China
Urte Matschl Germany
Arti C. Patel United States
Avanthi Raghavan United States
Fábio Luiz Dal Moro Maito Brazil
Yoko Kanamoto Japan
Frank Ackermann relative to W.M. Clouston Australia W.M. Clouston's profile →
Citations per field
00.5×12×
W.M. Clouston · 1×
Citations per year

Countries citing papers authored by Frank Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000101
2 199947
3 200542
4 200936
5 200134
6 199312
7 19988
8 20096
9
[Sex hormone binding globulin (SHBG), a new metabolic in vitro thyroid function test].
19783
10
Groupware: A Useful Tool or a Salesman's Paradise?.
19951
11 20041
12 19931
13 20211

About Frank Ackermann

Frank Ackermann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Infectious Diseases, Virology and Epidemiology, having authored 13 papers that have together received 293 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Ion channel regulation and function (2 papers), Aluminum toxicity and tolerance in plants and animals (2 papers), Clay minerals and soil interactions (1 paper), Corporate Social Responsibility and Sustainability (1 paper), Poxvirus research and outbreaks (1 paper) and Dermatological diseases and infestations (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (155 citations), Virology (24 citations), Infectious Diseases (43 citations), Epidemiology (37 citations) and Immunology (23 citations). Frank Ackermann has collaborated with scholars based in Germany and Canada. Frequent co-authors include Knut Krohn, Ralf Paschke, Peter Wonerow, Barbara Trülzsch, Dagmar Führer, G Ackermann, B. Ruf, H Willgerodt, Martin Jung and André Reis. Their work appears in journals such as Physiologia Plantarum, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of Medical Microbiology and Journal of Molecular Medicine.

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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