Michael Kirsch

186 papers receiving 4.5k citations

Peers

Michael Kirsch
Comparison fields: 5 of 168
  • Biochemistry 447
  • Neurology 651
  • Physiology 916
  • Biophysics 221
  • Endocrine and Autonomic Systems 224
Replace Andrey V. Kozlov with:
Andrey V. Kozlov Austria
Susan R. Doctrow United States
Masaaki Takahashi Japan
Renliang Zhang United States
Paul N. Epstein United States
Adam Slivka United States
S. Tsuyoshi Ohnishi United States
W. Sean Davidson United States
Stefan Janssens Belgium
Jan A. Post Netherlands
Michael Kirsch relative to Andrey V. Kozlov Austria Andrey V. Kozlov's profile →
Citations per field
00.5×2.6×
Andrey V. Kozlov · 1×
Citations per year

Countries citing papers authored by Michael Kirsch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001283
2 2006142
3
Differential expression of L-selectin, VLA-4, and LFA-1 on CD34+ progenitor cells from bone marrow and peripheral blood during G-CSF-enhanced recovery.
1995137
4 2002136
5 1998118
6 2012113
7 2004102
8 200292
9 200692
10 201381
11 200079
12 200377
13 200974
14 200370
15 200468
16 200367
17 200967
18 200365
19 200463
20 201062

About Michael Kirsch

Michael Kirsch is a scholar working on Physiology, Molecular Biology, Biochemistry, Neurology and Pulmonary and Respiratory Medicine, having authored 193 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (38 papers), Sulfur Compounds in Biology (18 papers), Hemoglobin structure and function (17 papers), Electron Spin Resonance Studies (16 papers), Redox biology and oxidative stress (8 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Vascular Malformations Diagnosis and Treatment (8 papers) and Intracranial Aneurysms: Treatment and Complications (7 papers). The work is most often cited by research in Biochemistry (447 citations), Neurology (651 citations), Physiology (916 citations), Biophysics (221 citations) and Endocrine and Autonomic Systems (224 citations). Michael Kirsch has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Herbert de Groot, Hans‐Gert Korth, Reiner Sustmann, Sönke Langner, Hans Henkes, Norbert Hosten, D. Kühne, Elena Lomonosova, Thomas Liebig and Frank Petrat. Their work appears in journals such as Journal of Biological Chemistry, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, The American Journal of Gastroenterology, Free Radical Biology and Medicine and Free Radical Research.

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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