Daniel Cejka

2.7k citations
74 papers · 2.1k · h-index 24

Impact in

Papers in

    • Parathyroid Disorders and Treatments 31
    • Renal function and acid-base balance 5
    • Chronic Kidney Disease and Diabetes 3
    • Dialysis and Renal Disease Management 3
    • PI3K/AKT/mTOR signaling in cancer 8

Daniel Cejka

65 papers receiving 2.0k citations

Peers

Daniel Cejka
Comparison fields: 5 of 82
  • Nephrology 762
  • Orthopedics and Sports Medicine 315
  • Oncology 399
  • Pathology and Forensic Medicine 230
  • Hepatology 84
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Sri Harsha Tella United States
Elisa Menegatti Italy
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Hyun Ju Kim South Korea
Christoph Kuppe Germany
Minoru Sakatsume Japan
Xiao-Ru Huang China
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Benedikt Schaefer Austria
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Cejka

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cejka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010211
2 2005207
3 2010148
4 2011128
5 2007128
6 2013109
7 201081
8 200581
9 201176
10 200871
11 200862
12 201056
13 201047
14 201941
15 201037
16 200936
17 201434
18 202331
19 200831
20
mTOR inhibition sensitizes gastric cancer to alkylating chemotherapy in vivo.
200928

About Daniel Cejka

Daniel Cejka is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (31 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Bone health and osteoporosis research (6 papers), Vitamin D Research Studies (6 papers), Renal function and acid-base balance (5 papers), Chronic Kidney Disease and Diabetes (3 papers), COVID-19 Impact on Reproduction (3 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Nephrology (762 citations), Orthopedics and Sports Medicine (315 citations), Oncology (399 citations), Pathology and Forensic Medicine (230 citations) and Hepatology (84 citations). Daniel Cejka has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Martin Haas, Volker Wacheck, Wolfgang Sieghart, Thorsten Fuereder, Danielle Diarra, Doris Losert, Sabine Strommer, Johannes Werzowa, Katharina Schmid and Markus Peck‐Radosavljevic. Their work appears in journals such as Clinical Kidney Journal, Nephrology Dialysis Transplantation, Bone, Cancer Biology & Therapy and Kidney International.

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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