M. Heck

784 citations
22 papers · 500 · h-index 11

Impact in

    • Microbial Natural Products and Biosynthesis
    • Pharmacogenetics and Drug Metabolism
    • Alkaloids: synthesis and pharmacology
  • Nephrology top 10%
    • Dialysis and Renal Disease Management

Papers in

    • Chemical Synthesis and Analysis 2
    • Mitochondrial Function and Pathology 2
    • Cutaneous lymphoproliferative disorders research 2

M. Heck

22 papers receiving 490 citations

Peers

M. Heck
Comparison fields: 5 of 86
  • Pharmacology 177
  • Nephrology 71
  • Pharmacology 86
  • Transplantation 23
  • Aging 6
Replace E. M. Davidson with:
E. M. Davidson United Kingdom
Amany A. Azouz Egypt
J. Moppert Switzerland
Rashad Y. Kirdani United States
B. Kevin Park United Kingdom
Arne Gessner Germany
D. Tim Harwood New Zealand
Lin Ji China
Katsuya Yamasaki Japan
Jean Paul Tillement France
M. Heck relative to E. M. Davidson United Kingdom E. M. Davidson's profile →
Citations per field
00.5×10×13.5×
E. M. Davidson · 1×
Citations per year

Countries citing papers authored by M. Heck

Since Specialization
Citations

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

Fields of papers citing papers by M. Heck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002134
2 2007117
3 198957
4 201024
5 201223
6 201219
7 201917
8 200517
9 201717
10 201716
11 200511
12 20139
13 20049
14 20058
15 20076
16 20165
17 20193
18 20092
19 19852
20 20122

About M. Heck

M. Heck is a scholar working on Molecular Biology, Dermatology, Surgery, Anesthesiology and Pain Medicine and Epidemiology, having authored 22 papers that have together received 500 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Pain Management and Opioid Use (3 papers), Chemical Synthesis and Analysis (2 papers), Mitochondrial Function and Pathology (2 papers), Dialysis and Renal Disease Management (2 papers), Cutaneous lymphoproliferative disorders research (2 papers), Microbial Natural Products and Biosynthesis (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Pharmacology (177 citations), Nephrology (71 citations), Pharmacology (86 citations), Transplantation (23 citations) and Aging (6 citations). M. Heck has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include John A. Robinson, Katja Zerbe, Francesca Vitali, Katharina Woithe, Dong Bo Li, Odile Meyer, Stefan Pelzer, Olena Pylypenko, Jan W. Vrijbloed and Bojan Bister. Their work appears in journals such as British Journal of Dermatology, European Archives of Psychiatry and Clinical Neuroscience, Acta Dermato Venereologica, International Immunopharmacology and Nephrology Dialysis Transplantation.

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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