A. Schmid

41 papers receiving 332 citations

Peers

A. Schmid
Comparison fields: 5 of 107
  • Endocrine and Autonomic Systems 50
  • Biological Psychiatry 9
  • Immunology 67
  • Nephrology 16
  • Rheumatology 33
Replace Zhan Lü with:
Zhan Lü China
Jing Zheng China
Sunnie S. Y. Kim United States
Sebastian Weise Germany
Bei Shi China
C. Thivolet France
Robert C. Elston United States
Laurence Noël Belgium
A. Schmid relative to Zhan Lü China Zhan Lü's profile →
Citations per field
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Zhan Lü · 1×
Citations per year

Countries citing papers authored by A. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by A. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200577
2 199866
3 198752
4 201914
5 199913
6 200811
7 200511
8 201411
9
Prolactin: a possible mediator of graft-versus-host disease following allogeneic bone marrow transplantation in humans.
19949
10 20118
11 20218
12
[Natruresis and aldosterone excretion in essential hypertension].
19597
13 20226
14 20185
15 20034
16 20113
17 19973
18 19783
19 20192
20 19652

About A. Schmid

A. Schmid is a scholar working on Surgery, Information Systems, Civil and Structural Engineering, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 345 indexed citations. Recurring topics across this work include Civil and Structural Engineering Research (5 papers), Thallium and Germanium Studies (3 papers), Potassium and Related Disorders (3 papers), Software Engineering Research (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hemodynamic Monitoring and Therapy (2 papers) and Gastroesophageal reflux and treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (50 citations), Biological Psychiatry (9 citations), Immunology (67 citations), Nephrology (16 citations) and Rheumatology (33 citations). A. Schmid has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include M. Meurer, S A Bell, Wilfried Budach, Claus Belka, Peter T. Daniel, Verena Jendrossek, Heidrun Faltin, Patrizia Marini, Anna Wirz‐Justice and P Kielholz. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Journal of Systems and Software and Clinical & Experimental Immunology.

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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