Michael Kobl

500 citations
6 papers · 401 · h-index 6

Impact in

Papers in

    • Genetic Associations and Epidemiology 3
    • Pharmacogenetics and Drug Metabolism 1

Michael Kobl

6 papers receiving 395 citations

Peers

Michael Kobl
Comparison fields: 5 of 52
  • Genetics 174
  • Endocrinology, Diabetes and Metabolism 41
  • Biological Psychiatry 3
  • Cardiology and Cardiovascular Medicine 48
  • Clinical Biochemistry 9
Replace Janos Osztovits with:
Janos Osztovits Hungary
Murray J. Cadzow New Zealand
Naznin M. Dixit United States
Maria J Martínez-Calatrava Spain
Berta Almoguera Castillo United States
A. Hofman Netherlands
Analabha Basu India
Teresa Tusié Mexico
Alyson Kelley-Hedgepeth United States
Morgan O. Obura Netherlands
Michael Kobl relative to Janos Osztovits Hungary Janos Osztovits's profile →
Citations per field
00.5×1.5×2.2×
Janos Osztovits · 1×
Citations per year

Countries citing papers authored by Michael Kobl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kobl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2015156
2 2015115
3 201563
4 200645
5
Changes in the circulating plasma levels of VEGF and VEGF-D after adjuvant chemotherapy in patients with breast cancer and 1 to 3 positive lymph nodes.
200611
6 201611

About Michael Kobl

Michael Kobl is a scholar working on Genetics, Pharmacology, Oncology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 401 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Lymphatic System and Diseases (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Renin-Angiotensin System Studies (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Genetics (174 citations), Endocrinology, Diabetes and Metabolism (41 citations), Biological Psychiatry (3 citations), Cardiology and Cardiovascular Medicine (48 citations) and Clinical Biochemistry (9 citations). Michael Kobl has collaborated with scholars based in Germany, Netherlands and Estonia. Frequent co-authors include Kurt Ulm, Jörg Rüdiger Siewert, Alexander Novotny, Gisela Keller, Katja Ott, James Mueller, Florian Lordick, Heinz Höfler, U. Fink and H. Vogelsang. Their work appears in journals such as PLoS ONE, Nature Communications, International Journal of Cancer, International Journal of Epidemiology and Diabetes.

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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