C. Kirschner

2.7k total citations · 1 hit paper
14 papers, 2.1k citations indexed

About

C. Kirschner is a scholar working on Analytical Chemistry, Biophysics and Clinical Biochemistry. According to data from OpenAlex, C. Kirschner has authored 14 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Analytical Chemistry, 9 papers in Biophysics and 4 papers in Clinical Biochemistry. Recurrent topics in C. Kirschner's work include Spectroscopy and Chemometric Analyses (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers) and Bacterial Identification and Susceptibility Testing (4 papers). C. Kirschner is often cited by papers focused on Spectroscopy and Chemometric Analyses (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers) and Bacterial Identification and Susceptibility Testing (4 papers). C. Kirschner collaborates with scholars based in Germany, Norway and Netherlands. C. Kirschner's co-authors include D. Naumann, Lin‐P'ing Choo‐Smith, K. Maquelin, Hubert P. Endtz, Gerwin J. Puppels, Nicole van den Braak, Achim Köhler, Astrid Oust, Harald Martens and Jost Wingender and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Journal of Clinical Microbiology.

In The Last Decade

C. Kirschner

14 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identification of medically relevant microorganisms by vibrational spectroscopy

2002 693 citations K. Maquelin, C. Kirschner et al. Journal of Microbiological Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Kirschner Germany	13	1.2k	885	622	388	292	14	2.1k
Dieter Helm Germany	11	925 0.8×	742 0.8×	513 0.8×	288 0.7×	187 0.6×	18	2.3k
D. Naumann Germany	23	1.7k 1.5×	1.3k 1.5×	1.1k 1.8×	517 1.3×	406 1.4×	48	3.4k
K. Maquelin Netherlands	22	1.8k 1.5×	1.2k 1.3×	784 1.3×	526 1.4×	576 2.0×	31	2.8k
Cushla McGoverin New Zealand	28	563 0.5×	751 0.8×	429 0.7×	398 1.0×	27 0.1×	73	2.1k
Caroline Amiel France	16	237 0.2×	249 0.3×	318 0.5×	170 0.4×	42 0.1×	27	1.1k
J. F. Sperry United States	23	619 0.5×	325 0.4×	523 0.8×	278 0.7×	177 0.6×	43	1.4k
Kent J. Voorhees United States	31	68 0.1×	381 0.4×	1.0k 1.7×	830 2.1×	1.0k 3.4×	133	3.6k
Nancy B. Valentine United States	20	119 0.1×	128 0.1×	490 0.8×	335 0.9×	707 2.4×	41	1.4k
Tae Kwon Lee South Korea	25	139 0.1×	70 0.1×	549 0.9×	316 0.8×	41 0.1×	81	2.3k
Sheeana Gangadoo Australia	20	59 0.1×	103 0.1×	379 0.6×	589 1.5×	53 0.2×	35	1.5k

Countries citing papers authored by C. Kirschner

Since Specialization

Citations

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

Fields of papers citing papers by C. Kirschner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Kirschner

This figure shows the co-authorship network connecting the top 25 collaborators of C. Kirschner. A scholar is included among the top collaborators of C. Kirschner 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 C. Kirschner. C. Kirschner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Köhler, Achim, et al.. (2007). Multivariate image analysis of a set of FTIR microspectroscopy images of aged bovine muscle tissue combining image and design information. Analytical and Bioanalytical Chemistry. 389(4). 1143–1153. 50 indexed citations

Kirschner, C., et al.. (2006). Rapid species and strain differentiation of non-tubercoulous mycobacteria by Fourier-Transform Infrared microspectroscopy. Journal of Microbiological Methods. 68(2). 282–290. 38 indexed citations

Oust, Astrid, Birgitte Moen, Harald Martens, et al.. (2005). Analysis of covariance patterns in gene expression data and FT-IR spectra. Journal of Microbiological Methods. 65(3). 573–584. 18 indexed citations

Köhler, Achim, C. Kirschner, Astrid Oust, & Harald Martens. (2005). Extended Multiplicative Signal Correction as a Tool for Separation and Characterization of Physical and Chemical Information in Fourier Transform Infrared Microscopy Images of Cryo-Sections of Beef Loin. Applied Spectroscopy. 59(6). 707–716. 134 indexed citations

Oust, Astrid, et al.. (2004). Evaluation of the robustness of FT-IR spectra of lactobacilli towards changes in the bacterial growth conditions. FEMS Microbiology Letters. 239(1). 111–116. 28 indexed citations

Oust, Astrid, Trond Møretrø, C. Kirschner, Judith Narvhus, & Achim Köhler. (2004). FT-IR spectroscopy for identification of closely related lactobacilli. Journal of Microbiological Methods. 59(2). 149–162. 97 indexed citations

Kirschner, C., et al.. (2004). Monitoring of Denaturation Processes in Aged Beef Loin by Fourier Transform Infrared Microspectroscopy. Journal of Agricultural and Food Chemistry. 52(12). 3920–3929. 63 indexed citations

Maquelin, K., C. Kirschner, Lin‐P'ing Choo‐Smith, et al.. (2003). Prospective Study of the Performance of Vibrational Spectroscopies for Rapid Identification of Bacterial and Fungal Pathogens Recovered from Blood Cultures. Journal of Clinical Microbiology. 41(1). 324–329. 249 indexed citations

Kirschner, C., et al.. (2003). Characterization and identification of microorganisms by FT-IR microspectrometry. Journal of Molecular Structure. 661-662. 371–380. 79 indexed citations

10.

Maquelin, K., C. Kirschner, Lin‐P'ing Choo‐Smith, et al.. (2002). Identification of medically relevant microorganisms by vibrational spectroscopy. Journal of Microbiological Methods. 51(3). 255–271. 693 indexed citations breakdown →

11.

Choo‐Smith, Lin‐P'ing, K. Maquelin, Hajo A. Bruining, et al.. (2001). Investigating Microbial (Micro)colony Heterogeneity by Vibrational Spectroscopy. Applied and Environmental Microbiology. 67(4). 1461–1469. 188 indexed citations

12.

Kirschner, C., K. Maquelin, P. Pina, et al.. (2001). Classification and Identification of Enterococci: a Comparative Phenotypic, Genotypic, and Vibrational Spectroscopic Study. Journal of Clinical Microbiology. 39(5). 1763–1770. 214 indexed citations

13.

Kirschner, C., et al.. (2000). FT-IR microspectrometry: a new tool for characterizing micro-organisms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3918. 36–36. 12 indexed citations

14.

Mayer, Christian, Ralf Moritz, C. Kirschner, et al.. (1999). The role of intermolecular interactions: studies on model systems for bacterial biofilms. International Journal of Biological Macromolecules. 26(1). 3–16. 273 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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