Frank Schumann

801 total citations
11 papers, 613 citations indexed

About

Frank Schumann is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Frank Schumann has authored 11 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Frank Schumann's work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Frank Schumann is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers) and RNA modifications and cancer (2 papers). Frank Schumann collaborates with scholars based in Germany, Belgium and United States. Frank Schumann's co-authors include Hans Robert Kalbitzer, Till Maurer, Wolfram Gronwald, Klaus‐Peter Neidig, Karol Szafranski, Klaus Huse, Jochen Hampe, Matthias Platzer, Ann Union and Filip De Keyser and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Frank Schumann

10 papers receiving 609 citations

Peers

Frank Schumann

MB

IMMUN

GENET

CB

RHEUM

Jeannie R. Rojas United States

Achim Möller Germany

Mitra S. Rana United States

Robert R. Aksamit United States

Yoko Yoshikawa Japan

Jun Seop Jeong United States

David N. Podell United States

Miguel Marcilla Spain

Parisa Sinai United Kingdom

Brigette L. Tippin United States

Jeannie R. Rojas United States

Frank Schumann

822 ×2.1

MB

112 ×1.1

IMMUN

93 ×1.2

GENET

31 ×0.4

CB

38 ×0.6

RHEUM

Citations per year, relative to Frank Schumann Frank Schumann (= 1×) peers Jeannie R. Rojas

Countries citing papers authored by Frank Schumann

Since Specialization

Citations

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

Fields of papers citing papers by Frank Schumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Schumann

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Schumann. A scholar is included among the top collaborators of Frank Schumann 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 Frank Schumann. Frank Schumann 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.

Braun, Urs, André Melzer, Frank Schumann, et al.. (2020). COVID-19 - Ein Virus nimmt Einfluss auf unsere Psyche.

2.

Schumann, Frank, et al.. (2015). Changing the topology of protein backbone: the effect of backbone cyclization on the structure and dynamics of a SH3 domain. Frontiers in Chemistry. 3. 26–26. 8 indexed citations

3.

Szafranski, Karol, Frank Schumann, Rileen Sinha, et al.. (2014). Physiological state co-regulates thousands of mammalian mRNA splicing events at tandem splice sites and alternative exons. Nucleic Acids Research. 42(14). 8895–8904. 10 indexed citations

4.

Herrmann, Alexander, Michael Nothnagel, Karol Szafranski, et al.. (2012). Genome-wide search for novel human uORFs and N-terminal protein extensions using ribosomal footprinting. Genome Research. 22(11). 2208–2218. 163 indexed citations

5.

Scholz, Roland W., et al.. (2011). Intrinsic disorder in the common N-terminus of human adenovirus 5 E1B-55K and its related E1BN proteins indicated by studies on E1B-93R. Virology. 418(2). 133–143. 15 indexed citations

6.

Schumann, Frank, et al.. (2009). Ca2+-dependent Conformational Changes in a C-terminal Cytosolic Domain of Polycystin-2. Journal of Biological Chemistry. 284(36). 24372–24383. 24 indexed citations

7.

Schumann, Frank, et al.. (2009). NMR-assignments of a cytosolic domain of the C-terminus of polycystin-2. Biomolecular NMR Assignments. 3(1). 141–144. 3 indexed citations

8.

Gronwald, Wolfram, Jörg Bomke, Till Maurer, et al.. (2008). Structure of the Leech Protein Saratin and Characterization of Its Binding to Collagen. Journal of Molecular Biology. 381(4). 913–927. 37 indexed citations

9.

Schumann, Frank, et al.. (2007). Combined chemical shift changes and amino acid specific chemical shift mapping of protein–protein interactions. Journal of Biomolecular NMR. 39(4). 275–289. 190 indexed citations

10.

Gerl, Velia, Christa Johnen, Aderajew Waka, et al.. (2005). The intracellular 52‐kd Ro/SSA autoantigen in keratinocytes is up‐regulated by tumor necrosis factor α via tumor necrosis factor receptor I. Arthritis & Rheumatism. 52(2). 531–538. 25 indexed citations

11.

Union, Ann, et al.. (2001). The stress protein BiP is overexpressed and is a major B and T cell target in rheumatoid arthritis. Arthritis & Rheumatism. 44(4). 761–771. 138 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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