J. Diemer

834 total citations
18 papers, 613 citations indexed

About

J. Diemer is a scholar working on Health, Toxicology and Mutagenesis, Automotive Engineering and Analytical Chemistry. According to data from OpenAlex, J. Diemer has authored 18 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health, Toxicology and Mutagenesis, 6 papers in Automotive Engineering and 6 papers in Analytical Chemistry. Recurrent topics in J. Diemer's work include Analytical chemistry methods development (6 papers), Vehicle emissions and performance (6 papers) and Air Quality and Health Impacts (5 papers). J. Diemer is often cited by papers focused on Analytical chemistry methods development (6 papers), Vehicle emissions and performance (6 papers) and Air Quality and Health Impacts (5 papers). J. Diemer collaborates with scholars based in Germany, Belgium and Canada. J. Diemer's co-authors include Josef Cyrys, Hermann Fromme, S. Dietrich, K. G. Heumann, Mandy Kiranoglu, Joachim Heinrich, Dorothee Twardella, W. Lang, Jürgen Schnelle‐Kreis and Ralf Zimmermann and has published in prestigious journals such as Chemosphere, Atmospheric Environment and Food and Chemical Toxicology.

In The Last Decade

J. Diemer

18 papers receiving 592 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Diemer Germany 13 439 181 158 112 89 18 613
Sathrugnan Karthikeyan Singapore 14 481 1.1× 113 0.6× 203 1.3× 120 1.1× 59 0.7× 20 736
Paolo Sacco Italy 13 419 1.0× 182 1.0× 109 0.7× 31 0.3× 43 0.5× 25 607
Rodrigo Seguel Chile 13 431 1.0× 254 1.4× 251 1.6× 38 0.3× 79 0.9× 22 634
Catia Balducci Italy 20 866 2.0× 130 0.7× 348 2.2× 55 0.5× 127 1.4× 62 1.1k
E Menichini Italy 13 527 1.2× 51 0.3× 154 1.0× 32 0.3× 73 0.8× 29 690
W.T. Winberry United States 4 286 0.7× 100 0.6× 120 0.8× 25 0.2× 64 0.7× 7 437
P.D. Vowles Australia 9 521 1.2× 207 1.1× 447 2.8× 32 0.3× 140 1.6× 14 701
Cristina Oliveira Portugal 12 329 0.7× 65 0.4× 185 1.2× 38 0.3× 113 1.3× 27 566
Joanna C. Greenwood United Kingdom 7 266 0.6× 73 0.4× 167 1.1× 24 0.2× 53 0.6× 8 399
Joseph Patrick Pancras United States 16 606 1.4× 275 1.5× 470 3.0× 68 0.6× 150 1.7× 26 797

Countries citing papers authored by J. Diemer

Since Specialization
Citations

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

Fields of papers citing papers by J. Diemer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Diemer

This figure shows the co-authorship network connecting the top 25 collaborators of J. Diemer. A scholar is included among the top collaborators of J. Diemer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Diemer. J. Diemer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
Gu, Jianwei, Jürgen Schnelle‐Kreis, Mike Pitz, et al.. (2013). Spatial and temporal variability of PM10 sources in Augsburg, Germany. Atmospheric Environment. 71. 131–139. 24 indexed citations
3.
Brandt, C., Jürgen Schnelle‐Kreis, Jürgen Orasche, et al.. (2011). Ambient PM10 concentrations from wood combustion – Emission modeling and dispersion calculation for the city area of Augsburg, Germany. Atmospheric Environment. 45(20). 3466–3474. 15 indexed citations
4.
Gu, Jianwei, Mike Pitz, Jürgen Schnelle‐Kreis, et al.. (2011). Source apportionment of ambient particles: Comparison of positive matrix factorization analysis applied to particle size distribution and chemical composition data. Atmospheric Environment. 45(10). 1849–1857. 106 indexed citations
5.
Schnelle‐Kreis, Jürgen, et al.. (2010). Anteil von Partikelemissionen aus Holzverbrennungban PM10-Feinstaub-immissionen im stadtischen Umfeld am Beispiel von Augsburg, Teil1: Emissions- und Immissionsmessungen. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 5. 203–209. 2 indexed citations
6.
Fromme, Hermann, S. Dietrich, Dieter Heitmann, et al.. (2009). Indoor air contamination during a waterpipe (narghile) smoking session. Food and Chemical Toxicology. 47(7). 1636–1641. 75 indexed citations
7.
Fromme, Hermann, J. Diemer, S. Dietrich, et al.. (2008). Chemical and morphological properties of particulate matter (PM10, PM2.5) in school classrooms and outdoor air. Atmospheric Environment. 42(27). 6597–6605. 195 indexed citations
8.
Weigand, Harald, et al.. (2007). An integrated sampling/speciation method for inorganic arsenic in soil solution. Journal of Plant Nutrition and Soil Science. 170(2). 250–258. 2 indexed citations
9.
Diemer, J., Christophe R. Quétel, & Philip Taylor. (2002). Contribution to the certification of B, Cd, Cu, Mg and Pb in a synthetic water sample, by use of isotope-dilution ICP–MS, for Comparison 12 of the International Measurement Evaluation Programme. Analytical and Bioanalytical Chemistry. 374(2). 220–225. 13 indexed citations
10.
Diemer, J., Christophe R. Quétel, & Philip Taylor. (2002). Comparison of the performance of different ICP-MS instruments on the measurement of Cu in a water sample by ICP-IDMS. Journal of Analytical Atomic Spectrometry. 17(9). 1137–1142. 21 indexed citations
11.
Diemer, J., Jochen Vogl, Christophe R. Quétel, et al.. (2001). SI-traceable certification of the amount content of cadmium below the ng g–1 level in blood samples by isotope dilution ICP–MS applied as a primary method of measurement. Analytical and Bioanalytical Chemistry. 370(5). 492–498. 22 indexed citations
12.
Diemer, J. & K. G. Heumann. (2000). Development of an ICP-IDMS method for accurate routine analyses of toxic heavy metals in polyolefins and comparison with results by TI-IDMS. Fresenius Journal of Analytical Chemistry. 368(1). 103–108. 13 indexed citations
13.
Vogl, Jochen, Markus Ostermann, J. Diemer, et al.. (2000). Producing SI-traceable reference values for Cd, Cr and Pb amount contents in polyethylene samples from the Polymer Elemental Reference Material (PERM) project using isotope dilution mass spectrometry. Accreditation and Quality Assurance. 5(8). 314–324. 18 indexed citations
14.
15.
Diemer, J. & K. G. Heumann. (1997). Bromide/bromate speciation by NTI-IDMS and ICP-MS coupled with ion exchange chromatography. Fresenius Journal of Analytical Chemistry. 357(1). 74–79. 43 indexed citations
16.
Diemer, J., Blythe McLennan, & B. G. Lane. (1966). Studies of the primary structure of 18-S + 28-S ribonucleates. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 114(1). 191–194. 12 indexed citations
17.
Lane, B. G., et al.. (1963). END GROUP AND SEDIMENTATION DATA ON FRAGMENTED HIGH MOLECULAR WEIGHT RIBONUCLEATES. Canadian Journal of Biochemistry and Physiology. 41(9). 1927–1941. 9 indexed citations
18.
Lane, B. G., et al.. (1963). END GROUP AND SEDIMENTATION DATA ON FRAGMENTED HIGH MOLECULAR WEIGHT RIBONUCLEATES. Canadian Journal of Biochemistry and Physiology. 41(1). 1927–1941. 9 indexed citations

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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