T. Koschinsky

1.4k citations
33 papers · 1.0k · h-index 13

Impact in

Papers in

T. Koschinsky

31 papers receiving 994 citations

Peers

T. Koschinsky
Comparison fields: 5 of 92
  • Biophysics 412
  • Analytical Chemistry 298
  • Bioengineering 117
  • Endocrinology, Diabetes and Metabolism 215
  • Radiology, Nuclear Medicine and Imaging 204
Replace Xiaofeng Ling with:
Xiaofeng Ling China
Venkata Radhakrishna Kondepati Germany
Bhaskar Mohan Murari India
Libuša Šikurová Slovakia
Małgorzata Komorowska Poland
Kenshi Ichinose Japan
Keyvan Ghasemi Iran
Michael Slama United States
Veli‐Pekka Ranta Finland
Andrzej Fedorowicz Poland
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Citations per field
00.5×10×20×29.3×
Xiaofeng Ling · 1×
Citations per year

Countries citing papers authored by T. Koschinsky

Since Specialization
Citations

This map shows the geographic impact of T. Koschinsky'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 T. Koschinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Koschinsky more than expected).

Fields of papers citing papers by T. Koschinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001225
2 1993128
3 1994124
4 1997118
5
Oral antidiabetic combination therapy with sulphonylureas and metformin.
199188
6 199483
7 199364
8 197131
9 199830
10 199719
11 200818
12 199116
13 197914
14 198512
15 198012
16 197010
17 199210
18 19998
19
Detection of Changes in Blood Glucose Concentrationin vivo with Spatially Resolved Diffuse Reflectance
19967
20 19745

About T. Koschinsky

T. Koschinsky is a scholar working on Endocrinology, Diabetes and Metabolism, Biophysics, Molecular Biology, Physiology and Analytical Chemistry, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Diabetes Management and Research (5 papers), Spectroscopy and Chemometric Analyses (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Optical Imaging and Spectroscopy Techniques (4 papers), Electrochemical sensors and biosensors (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Biophysics (412 citations), Analytical Chemistry (298 citations), Bioengineering (117 citations), Endocrinology, Diabetes and Metabolism (215 citations) and Radiology, Nuclear Medicine and Imaging (204 citations). T. Koschinsky has collaborated with scholars based in Germany, Canada and Russia. Frequent co-authors include Lutz Heinemann, F. A. Gries, H. Michael Heise, Ralf Marbach, Hj. Hirche, H. Liebermeister, L. Herberg, Andreas Bittner, Hans Ørskov and D. Böcker. Their work appears in journals such as Atherosclerosis, Hormone and Metabolic Research, Applied Spectroscopy, Diabetologia and Artificial Organs.

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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