Lothar Siekmann

2.3k citations
83 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Lothar Siekmann

79 papers receiving 1.6k citations

Peers

Lothar Siekmann
Comparison fields: 5 of 138
  • Nephrology 242
  • Endocrinology, Diabetes and Metabolism 480
  • Statistics, Probability and Uncertainty 173
  • Behavioral Neuroscience 69
  • Spectroscopy 223
Replace Dietmar Stöckl with:
Dietmar Stöckl Belgium
Katleen Van Uytfanghe Belgium
Robert Rej United States
Claude Petitclerc Canada
Susan S.-C. Tai United States
Karen W. Phinney United States
Uwe Kobold Germany
Nathan Gochman United States
Maureen Sampson United States
Anne Vassault France
Lothar Siekmann relative to Dietmar Stöckl Belgium Dietmar Stöckl's profile →
Citations per field
00.5×
Dietmar Stöckl · 1×
Citations per year

Countries citing papers authored by Lothar Siekmann

Since Specialization
Citations

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

Fields of papers citing papers by Lothar Siekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201356
2 201215
3 20094
4 200815
5 200331
6 200247
7 200251
8 200121
9 200147
10 200199
11 200017
12 199810
13 19952
14
Suramin in adrenocortical cancer
19941
15 199463
16 199425
17 199110
18 198718
19
Massenfragmentographische Bestimmung von Cholesterin im Serum — eine klinisch-chemische Referenzmethode
197626
20 197043

About Lothar Siekmann

Lothar Siekmann is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Spectroscopy, Statistics, Probability and Uncertainty and Biochemistry, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Estrogen and related hormone effects (14 papers), Clinical Laboratory Practices and Quality Control (13 papers), Pesticide Residue Analysis and Safety (12 papers), Analytical Chemistry and Chromatography (8 papers), Metabolism and Genetic Disorders (8 papers), Mass Spectrometry Techniques and Applications (8 papers) and Pharmacological Effects and Assays (8 papers). The work is most often cited by research in Nephrology (242 citations), Endocrinology, Diabetes and Metabolism (480 citations), Statistics, Probability and Uncertainty (173 citations), Behavioral Neuroscience (69 citations) and Spectroscopy (223 citations). Lothar Siekmann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include H. Breuer, Linda M. Thienpont, Gary L. Myers, Edward R. Ashwood, Anthony A. Killeen, W. Greg Miller, Edward Wang, H.‐O. Hoppen, Thomas P. J. Linsinger and Anja Keßler. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), European Journal of Endocrinology, Clinical Chemistry, Analytical and Bioanalytical Chemistry and Journal of Mass Spectrometry.

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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2026