Hans Parsch

528 total citations
11 papers, 403 citations indexed

About

Hans Parsch is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hans Parsch has authored 11 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in Hans Parsch's work include HIV Research and Treatment (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Hans Parsch is often cited by papers focused on HIV Research and Treatment (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). Hans Parsch collaborates with scholars based in Germany, United Kingdom and United States. Hans Parsch's co-authors include Michael Buchfelder, Andrea Kleindienst, Nicole P. Vogt, Reiner Strick, Ralf L. Schild, Pamela L. Strissel, Matthias W. Beckmann, Manuela Langbein, Thomas Roth and Sidonia Mihai and has published in prestigious journals such as PLoS ONE, European Journal of Immunology and Molecular Reproduction and Development.

In The Last Decade

Hans Parsch

11 papers receiving 396 citations

Peers

Hans Parsch

MB

OG

PPCH

NEURO

EPIDE

Ling Ma China

Michelle Saoi United States

Jiangyang Lu China

J. A. Duley United Kingdom

Sha Xu China

Solomon Tebeje Gizaw Ethiopia

Ellen Gurzenda United States

Tangming Peng China

Christopher L. Bacon Ireland

J Hyánek Czechia

Ling Ma China

Hans Parsch

124 ×0.6

MB

35 ×0.4

OG

29 ×0.3

PPCH

19 ×0.2

NEURO

97 ×1.5

EPIDE

Citations per year, relative to Hans Parsch Hans Parsch (= 1×) peers Ling Ma

Countries citing papers authored by Hans Parsch

Since Specialization

Citations

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

Fields of papers citing papers by Hans Parsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Parsch

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Parsch. A scholar is included among the top collaborators of Hans Parsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans Parsch. Hans Parsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Roth, Thomas, et al.. (2020). Simultaneous determination of six antibiotics in human serum by high‐performance liquid chromatography with UV detection. Biomedical Chromatography. 35(3). 16 indexed citations

2.

Uslu, Uğur, Stefan Schliep, Klaus Schliep, et al.. (2017). Comparison of the Serum Tumor Markers S100 and Melanoma-inhibitory Activity (MIA) in the Monitoring of Patients with Metastatic Melanoma Receiving Vaccination Immunotherapy with Dendritic Cells. Anticancer Research. 37(9). 5033–5037. 10 indexed citations

3.

Roth, Thomas, et al.. (2017). Determination of meropenem levels in human serum by high‐performance liquid chromatography with ultraviolet detection. Biomedical Chromatography. 31(5). 36 indexed citations

4.

Opoka, Robert, Stephanie Schmidt, Sidonia Mihai, et al.. (2016). A mutation within the SH2 domain of slp‐76 regulates the tissue distribution and cytokine production of iNKT cells in mice. European Journal of Immunology. 46(9). 2121–2136. 1 indexed citations

5.

Hecht, Markus, Thomas Harrer, Hartwig Klinker, et al.. (2015). Efavirenz Has the Highest Anti-Proliferative Effect of Non-Nucleoside Reverse Transcriptase Inhibitors against Pancreatic Cancer Cells. PLoS ONE. 10(6). e0130277–e0130277. 44 indexed citations

6.

Kleindienst, Andrea, et al.. (2010). The Passage of S100B from Brain to Blood Is Not SpecificallyRelated to the Blood-Brain Barrier Integrity. PubMed. 2010. 1–8. 53 indexed citations

7.

Kleindienst, Andrea, et al.. (2009). Following Brain Trauma, Copeptin, a Stable Peptide Derived from the AVP Precusor, Does Not Reflect Osmoregulation but Correlates with Injury Severity. Acta neurochirurgica. Supplementum. 106. 221–224. 37 indexed citations

8.

Kleindienst, Andrea, et al.. (2009). Dynamics of S100B Release into Serum and Cerebrospinal Fluid Following Acute Brain Injury. Acta neurochirurgica. Supplementum. 106. 247–250. 48 indexed citations

9.

Langbein, Manuela, Reiner Strick, Pamela L. Strissel, et al.. (2007). Impaired cytotrophoblast cell–cell fusion is associated with reduced Syncytin and increased apoptosis in patients with placental dysfunction. Molecular Reproduction and Development. 75(1). 175–183. 155 indexed citations

10.

Harrer, Thomas, Johannes Schwab, Wilhelm G. Struff, et al.. (1998). Intralymphatic interleukin-2 in combination with zidovudine for the therapy of patients with AIDS. Infection. 26(6). 368–374. 2 indexed citations

11.

Bonnard, J., et al.. (1981). [I.V. infusion of glyceryl trinitrate. Study of the sorption on various plastic containers (author's transl)].. PubMed. 35(5). 389–93. 1 indexed citations

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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