Michael Kulke

2.2k citations
44 papers · 1.5k · h-index 13

Impact in

Papers in

Michael Kulke

39 papers receiving 1.5k citations

Peers

Michael Kulke
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 868
  • Cell Biology 255
  • Molecular Biology 677
  • Atomic and Molecular Physics, and Optics 318
  • Structural Biology 12
Replace Arjun S. Adhikari with:
Arjun S. Adhikari United States
Jennifer Lamb United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael Kulke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kulke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002290
2 2004267
3 2001174
4 2002162
5 2001144
6 200398
7 200170
8 202063
9 201358
10 201538
11 200231
12 201515
13 202012
14 202212
15
PROGNOSTIC AND PREDICTIVE VALUE OF CHROMOGRANIN A AND NEURON-SPECIFIC ENOLASE IN PATIENTS (PTS) WITH ADVANCED PANCREATIC NEUROENDOCRINE TUMORS (PNET) TREATED WITH EVEROLIMUS
201011
16 201711
17 201411
18 201811
19 201110
20 20247

About Michael Kulke

Michael Kulke is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (10 papers), Toxin Mechanisms and Immunotoxins (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Silymarin and Mushroom Poisoning (8 papers), Cardiomyopathy and Myosin Studies (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (868 citations), Cell Biology (255 citations), Molecular Biology (677 citations), Atomic and Molecular Physics, and Optics (318 citations) and Structural Biology (12 citations). Michael Kulke has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Wolfgang A. Linke, Ciprian Neagoe, Roger J. Hajjar, Judith K. Gwathmey, Federica del Monte, Julio M. Fernández, Ave Minajeva, Christiane A. Opitz, Mark C. Leake and Pieter P. de Tombe. Their work appears in journals such as Cancer Research, Blood, Journal of Clinical Oncology, European Journal of Cancer and Circulation 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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