Lothar Siekmann

83 papers receiving 1.7k citations

Peers

Lothar Siekmann
Comparison fields: 5 of 113
  • Statistics, Probability and Uncertainty 266
  • Physiology 676
  • Nephrology 189
  • Analytical Chemistry 177
  • Spectroscopy 242
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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 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005243
2 1979115
3 2001101
4 200873
5 200670
6 200468
7 201362
8 200156
9 200254
10 200250
11 197047
12 197546
13
Determination of creatinine in human serum by isotope dilution-mass spectrometry. Definitive methods in clinical chemistry, IV.
198544
14 200243
15 199136
16 199936
17 197634
18 200334
19 198231
20
Massenfragmentographische Bestimmung von Cholesterin im Serum — eine klinisch-chemische Referenzmethode
197630

About Lothar Siekmann

Lothar Siekmann is a scholar working on Physiology, Statistics, Probability and Uncertainty, Analytical Chemistry, Spectroscopy and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (40 papers), Scientific Measurement and Uncertainty Evaluation (19 papers), Analytical chemistry methods development (14 papers), Mass Spectrometry Techniques and Applications (13 papers), Steroid Chemistry and Biochemistry (12 papers), Estrogen and related hormone effects (10 papers), Analytical Chemistry and Chromatography (8 papers) and Analytical Methods in Pharmaceuticals (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (266 citations), Physiology (676 citations), Nephrology (189 citations), Analytical Chemistry (177 citations) and Spectroscopy (242 citations). Lothar Siekmann has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include HERMANN BREUER, Linda M. Thienpont, Edward Shih-Tse Wang, W. Greg Miller, Gary L. Myers, Anthony A. Killeen, Edward R. Ashwood, H.‐O. Hoppen, Ferruccio Ceriotti 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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