Michael Haidinger

48 papers receiving 2k citations

Peers

Michael Haidinger
Comparison fields: 5 of 82
  • Transplantation 587
  • Nephrology 237
  • Endocrinology, Diabetes and Metabolism 296
  • Immunology 267
  • Clinical Biochemistry 47
Replace Carl‐Gustav Groth with:
Carl‐Gustav Groth Sweden
Geneviève Guest France
Stefan Reuter Germany
Kyung Hwan Jeong South Korea
Jacques M. Lemire United States
Marina Charbit France
Joachim Misselwitz Germany
Stefan Heidenreich Germany
Érika Bevilaqua Rangel Brazil
Tracy Earl Hunley United States
Michael Haidinger relative to Carl‐Gustav Groth Sweden Carl‐Gustav Groth's profile →
Citations per field
00.5×2×4×5.3×
Carl‐Gustav Groth · 1×
Citations per year

Countries citing papers authored by Michael Haidinger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haidinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010195
2 2012184
3 2012184
4 2009174
5 2011126
6 2008111
7 201395
8 201395
9 201388
10 201087
11 201379
12 201378
13 200369
14 201052
15 201439
16 201437
17 200726
18 202226
19 200624
20 200922

About Michael Haidinger

Michael Haidinger is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism, Nephrology, Gender Studies and Immunology, having authored 50 papers that have together received 2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (19 papers), Diabetes Treatment and Management (6 papers), Diversity and Career in Medicine (5 papers), Diabetes Management and Research (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cholesterol and Lipid Metabolism (3 papers), Dialysis and Renal Disease Management (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Transplantation (587 citations), Nephrology (237 citations), Endocrinology, Diabetes and Metabolism (296 citations), Immunology (267 citations) and Clinical Biochemistry (47 citations). Michael Haidinger has collaborated with scholars based in Austria, Switzerland and United Kingdom. Frequent co-authors include Marcus D. Säemann, Walter Hermann Hörl, Thomas Weichhart, Manfred Hecking, Johannes M. Werzowa, Chantal Kopecky, Marko Poglitsch, Dominik Döller, Gerhard J. Zlabinger and Giovanni Pacini. Their work appears in journals such as Journal of the American Society of Nephrology, Transplantation, Nephrology Dialysis Transplantation, American Journal of Transplantation and Antimicrobial Agents and Chemotherapy.

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.

Explore authors with similar magnitude of impact