Annette Conrads‐Frank

706 citations
38 papers · 476 indexed · h-index 11

Annette Conrads‐Frank

34 papers receiving 459 citations

Peers

Annette Conrads‐Frank
Comparison fields: 5 of 88
  • Hepatology 79
  • Statistics and Probability 50
  • Economics and Econometrics 152
  • Medical Laboratory Technology 6
  • Hematology 34
Replace Victoria K. Brennan with:
Victoria K. Brennan United Kingdom
Florina Constantinescu United States
Hiroya Taniguchi Japan
Hayley Bennett United Kingdom
A. de Boer Netherlands
Mark Radzyner United States
Natalia Kunst United States
Yasuhiro Hagiwara Japan
D. Tin Canada
Bintu Sherif United States
Annette Conrads‐Frank relative to Victoria K. Brennan United Kingdom Victoria K. Brennan's profile →
Citations per field
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Victoria K. Brennan · 1×
Citations per year

Countries citing papers authored by Annette Conrads‐Frank

Since Specialization
Citations

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

Fields of papers citing papers by Annette Conrads‐Frank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20227
3 20214
4 20217
5 20207
6 20190
7 20198
8 20180
9 20173
10 20161
11 201536
12 20141
13 201459
14 20134
15
Methodenhandbuch für Health-Technology-Assessment, Version 1.2012
20129
16 201123
17 200944
18 200823
19 200869
20 200510

About Annette Conrads‐Frank

Annette Conrads‐Frank is a scholar working on Economics and Econometrics, Statistics and Probability and Family Practice, having authored 38 papers that have together received 476 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Pharmaceutical Economics and Policy (4 papers), Advanced Causal Inference Techniques (3 papers), Statistical Methods in Clinical Trials (3 papers), Acute Myeloid Leukemia Research (3 papers), Genetic factors in colorectal cancer (3 papers), Hepatitis C virus research (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hepatology (79 citations), Statistics and Probability (50 citations) and Economics and Econometrics (152 citations). Annette Conrads‐Frank has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Uwe Siebert, Petra Schnell‐Inderst, Gaby Sroczynski, Ralf Schwarzer, Björn Stollenwerk, Marjan Arvandi, Rebecca A. Miksad, Beate Jahn, Nikolai Mühlberger and Ruth Schwarzer. Their work appears in journals such as Value in Health, PharmacoEconomics, Journal of Clinical Epidemiology, Medical Decision Making and European Journal of Epidemiology.

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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