Michael Runold

41 papers receiving 868 citations

Hit Papers

Long-Haul Post–COVID-19 Symptoms Presenting as a Variant of Postural Orthostatic Tachycardia Syndrome 2021 · 136 citations
13620212026202220244080120

Peers

Michael Runold
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 424
  • Neurology 209
  • Physiology 44
  • Cardiology and Cardiovascular Medicine 185
  • Critical Care and Intensive Care Medicine 42
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Citations per year

Countries citing papers authored by Michael Runold

Since Specialization
Citations

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

Fields of papers citing papers by Michael Runold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long-Haul Post–COVID-19 Symptoms Presenting as a Variant of Postural Orthostatic Tachycardia Syndrome
Hit paper breakdown →
2021136
2 199169
3 202059
4 198459
5 198952
6 199051
7 198640
8 199431
9 198728
10 201227
11 200126
12 198726
13 199724
14 200223
15 199020
16 199820
17 202319
18 202319
19 198819
20 200317

About Michael Runold

Michael Runold is a scholar working on Endocrine and Autonomic Systems, Neurology, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 47 papers that have together received 891 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (17 papers), Neuroscience of respiration and sleep (16 papers), Heart Rate Variability and Autonomic Control (12 papers), Respiratory Support and Mechanisms (10 papers), Neonatal Respiratory Health Research (10 papers), Cardiovascular Syncope and Autonomic Disorders (8 papers), Neuropeptides and Animal Physiology (7 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (424 citations), Neurology (209 citations), Physiology (44 citations), Cardiology and Cardiovascular Medicine (185 citations) and Critical Care and Intensive Care Medicine (42 citations). Michael Runold has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include Hugo Lagercrantz, Nanduri R. Prabhakar, Yuji Yamamoto, Judith Bruchfeld, Neil S. Cherniack, B.B. Fredholm, Marcus Ståhlberg, Malin Nygren‐Bonnier, Artur Fedorowski and Tito Pantaleo. Their work appears in journals such as Scientific Reports, Circulation Arrhythmia and Electrophysiology, Frontiers in Medicine, BMJ Open and Brain Research.

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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