Anja Schultz

856 citations
28 papers · 684 · h-index 13

Impact in

Papers in

Anja Schultz

28 papers receiving 665 citations

Peers

Anja Schultz
Comparison fields: 5 of 51
  • Neurology 498
  • Endocrinology, Diabetes and Metabolism 102
  • Pathology and Forensic Medicine 92
  • Immunology 84
  • Genetics 38
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Citations per year

Countries citing papers authored by Anja Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Anja Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000155
2 199795
3 200057
4
Abnormal thymocyte development and generation of autoreactive T cells in mixed and cortical thymomas.
199853
5
Expression of neurofilaments and of a titin epitope in thymic epithelial tumors. Implications for the pathogenesis of myasthenia gravis.
199652
6 199749
7 200029
8 199929
9 199926
10 199725
11
Distribution of molecules mediating thymocyte-stroma-interactions in human thymus, thymitis and thymic epithelial tumors.
199423
12 199818
13 200014
14 19977
15 20097
16 19866
17
Cloning of a cDNA coding for the acetylcholine receptor alpha-subunit from a thymoma associated with myasthenia [correction of myastenia] gravis.
19946
18 19855
19
[Abnormal T cell maturation in myasthenia gravis associated thymomas].
19965
20 20005

About Anja Schultz

Anja Schultz is a scholar working on Neurology, Pathology and Forensic Medicine, Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 684 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (18 papers), Peripheral Neuropathies and Disorders (7 papers), Lymphoma Diagnosis and Treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Parkinson's Disease and Spinal Disorders (2 papers), Ion channel regulation and function (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Neurology (498 citations), Endocrinology, Diabetes and Metabolism (102 citations), Pathology and Forensic Medicine (92 citations), Immunology (84 citations) and Genetics (38 citations). Anja Schultz has collaborated with scholars based in Germany, Greece and France. Frequent co-authors include Alexander Marx, A Wilisch, H. K. Müller-Hermelink, Berthold Schalke, Hans Konrad Müller‐Hermelink, Ralf Gold, Stefan Gattenlöhner, Wilfred A. Nix, James Tiesinga and Reinhard Kiefer. Their work appears in journals such as Blood, Clinical Chemistry, Journal of Immunology Research, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and American Journal Of Pathology.

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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