Lothar Siekmann

2.3k citations
87 papers · 1.9k · h-index 24

Impact in

Papers in

Lothar Siekmann

80 papers receiving 1.7k citations

Peers

Lothar Siekmann
Comparison fields: 5 of 134
  • Nephrology 234
  • Endocrinology, Diabetes and Metabolism 433
  • Statistics, Probability and Uncertainty 138
  • Behavioral Neuroscience 46
  • Spectroscopy 230
Replace Dietmar Stöckl with:
Dietmar Stöckl Belgium
Robert Rej United States
H.L.J. Makin United Kingdom
Karen W. Phinney United States
Katleen Van Uytfanghe Belgium
Claude Petitclerc Canada
Nathan Gochman United States
Uwe Kobold Germany
Maureen Sampson United States
Lorna T. Sniegoski United States
Lothar Siekmann relative to Dietmar Stöckl Belgium Dietmar Stöckl's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005238
2 1979117
3 2001101
4 200468
5 201357
6 200856
7 200854
8 200254
9 200151
10 200248
11 197547
12 197047
13
Determination of creatinine in human serum by isotope dilution-mass spectrometry. Definitive methods in clinical chemistry, IV.
198543
14 200242
15 199938
16 199136
17 197636
18 200332
19 198231
20
Massenfragmentographische Bestimmung von Cholesterin im Serum — eine klinisch-chemische Referenzmethode
197631

About Lothar Siekmann

Lothar Siekmann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Spectroscopy and Genetics, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (15 papers), Estrogen and related hormone effects (13 papers), Clinical Laboratory Practices and Quality Control (12 papers), Pesticide Residue Analysis and Safety (9 papers), Hormonal Regulation and Hypertension (8 papers), Analytical Chemistry and Chromatography (8 papers), Mass Spectrometry Techniques and Applications (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). The work is most often cited by research in Nephrology (234 citations), Endocrinology, Diabetes and Metabolism (433 citations), Statistics, Probability and Uncertainty (138 citations), Behavioral Neuroscience (46 citations) and Spectroscopy (230 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, Edward Wang, W. Greg Miller, H.‐O. Hoppen, Anja Keßler and Thomas P. J. Linsinger. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, European Journal of Endocrinology, Journal of Mass Spectrometry and Analytical and Bioanalytical Chemistry.

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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