Michael Haidinger

2.5k citations
49 papers · 1.9k indexed · h-index 20

Michael Haidinger

46 papers receiving 1.8k citations

Peers

Michael Haidinger
Comparison fields: 5 of 100
  • Transplantation 588
  • Nephrology 268
  • Endocrinology, Diabetes and Metabolism 558
  • Immunology 369
  • Clinical Biochemistry 93
Replace Kate Wyburn with:
Kate Wyburn Australia
W Rowińskí Poland
J. A. Charlesworth Australia
Stefan Heidenreich Germany
Chris Andry United States
Krisztina Rusai Hungary
P. Massari Argentina
Erich Pohanka Austria
A R Morley United Kingdom
Stuart D. Saal United States
Michael Haidinger relative to Kate Wyburn Australia Kate Wyburn's profile →
Citations per field
00.5×11.6×
Kate Wyburn · 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-authorship network

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
#Work
1 20241
2 20236
3 20231
4 20222
5 20222
6 202217
7 20224
8 201719
9 20159
10 201511
11 201386
12 201315
13 2012166
14 201216
15 201016
16 201077
17 2010186
18 201020
19 200913
20 2008100

About Michael Haidinger

Michael Haidinger is a scholar working on Transplantation, Nephrology, Endocrinology, Diabetes and Metabolism, Gender Studies and Clinical Biochemistry, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (14 papers), Pancreatic function and diabetes (10 papers), Diabetes Treatment and Management (9 papers), Diversity and Career in Medicine (6 papers), Polyomavirus and related diseases (4 papers), Dialysis and Renal Disease Management (4 papers), Immune Cell Function and Interaction (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Transplantation (588 citations), Nephrology (268 citations), Endocrinology, Diabetes and Metabolism (558 citations), Immunology (369 citations) and Clinical Biochemistry (93 citations). Michael Haidinger has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Marcus D. Säemann, Walter H. Hörl, Thomas Weichhart, Manfred Hecking, Johannes 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, Nephrology Dialysis Transplantation, Transplantation, The American Journal of Emergency Medicine and American Journal of 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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