Michael Burkard

2.7k citations
21 papers · 285 · h-index 11

Impact in

  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Chemical Synthesis and Analysis
    • Melanoma and MAPK Pathways

Papers in

    • Chemical Synthesis and Analysis 3
    • Enzyme function and inhibition 2
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 6

Michael Burkard

18 papers receiving 258 citations

Peers

Michael Burkard
Comparison fields: 5 of 62
  • Genetics 89
  • Molecular Biology 170
  • Oncology 57
  • Microbiology 13
  • Toxicology 7
Replace Kazuto Nunomura with:
Kazuto Nunomura Japan
Chun-Hwa Chen Taiwan
Elisabeth V. Schneider Germany
Jefferson P. Hemerly Brazil
Natasha Sharma United States
Kongjun Liu China
Jayashree C. Jagtap India
Marie‐Line Puiffe France
Masaki Gouda Japan
Mairead Young United States
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Citations per field
00.5×4.7×
Kazuto Nunomura · 1×
Citations per year

Countries citing papers authored by Michael Burkard

Since Specialization
Citations

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

Fields of papers citing papers by Michael Burkard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201537
2 201929
3 199628
4 199628
5 199627
6 199624
7 200722
8 200021
9 200817
10 199616
11 201410
12 19965
13 20155
14 19944
15 19974
16 20223
17 20202
18 20251
19 20081
20 19891

About Michael Burkard

Michael Burkard is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Organic Chemistry, having authored 21 papers that have together received 285 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Chemical Synthesis and Analysis (3 papers), Peptidase Inhibition and Analysis (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Quinazolinone synthesis and applications (2 papers), Enzyme function and inhibition (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Genetics (89 citations), Molecular Biology (170 citations), Oncology (57 citations), Microbiology (13 citations) and Toxicology (7 citations). Michael Burkard has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include John S. Zuzack, Torsten Stein, Eric T. Whalley, Lajos Gera, Karl‐Dieter Entian, Val S. Goodfellow, Mary C.M. Weiser‐Evans, Kurt R. Stenmark, S. C. Jones and Christopher P. Laudeman. Their work appears in journals such as Immunopharmacology, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Microbiological Methods and Molecular Cancer Therapeutics.

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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