Daniel Lechner

1.2k citations
37 papers · 983 · h-index 18

Impact in

Papers in

Daniel Lechner

36 papers receiving 951 citations

Peers

Daniel Lechner
Comparison fields: 5 of 82
  • Internal Medicine 127
  • Pathology and Forensic Medicine 411
  • Hematology 155
  • Endocrinology, Diabetes and Metabolism 118
  • Genetics 206
Replace Andrew D. Blann with:
Andrew D. Blann United Kingdom
Carmen H. Tong United States
Michael J. Haut United States
Marian Wald Myers United States
J. Musial United States
Enrico Boschetti Italy
Andrea Sebastiano Cavallaro Italy
Omid Jazaeri United States
Edward Housset France
Harbajan Chadha‐Boreham Switzerland
Daniel Lechner relative to Andrew D. Blann United Kingdom Andrew D. Blann's profile →
Citations per field
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Andrew D. Blann · 1×
Citations per year

Countries citing papers authored by Daniel Lechner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004107
2 200797
3 200883
4 200580
5 200673
6 200861
7 200252
8
Genistein and 17beta-estradiol, but not equol, regulate vitamin D synthesis in human colon and breast cancer cells.
200646
9 200543
10 200540
11 202235
12 200831
13 200325
14 201824
15 200624
16 200321
17 201819
18 201919
19 201917
20 202112

About Daniel Lechner

Daniel Lechner is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Genetics and Internal Medicine, having authored 37 papers that have together received 983 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Estrogen and related hormone effects (7 papers), Vitamin D Research Studies (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Phytoestrogen effects and research (4 papers), Nutrition, Genetics, and Disease (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Internal Medicine (127 citations), Pathology and Forensic Medicine (411 citations), Hematology (155 citations), Endocrinology, Diabetes and Metabolism (118 citations) and Genetics (206 citations). Daniel Lechner has collaborated with scholars based in Austria, Germany and Liechtenstein. Frequent co-authors include Heide Sing Cross, Enikö Kállay, Ansgar Weltermann, Herman Adlercreutz, Paul Alexander Kyrle, A. Weltermann, Erika Bajna, Teresa Manhardt, Marietta Kollars and Andreas Gleiß. Their work appears in journals such as Blood, Journal of Nutrition, Langenbeck s Archives of Surgery, Journal of Thrombosis and Haemostasis and The Journal of Steroid Biochemistry and Molecular Biology.

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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