G. Riethmüller

11.2k total citations
137 papers, 8.9k citations indexed

About

G. Riethmüller is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, G. Riethmüller has authored 137 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Immunology, 49 papers in Radiology, Nuclear Medicine and Imaging and 43 papers in Oncology. Recurrent topics in G. Riethmüller's work include Monoclonal and Polyclonal Antibodies Research (45 papers), Immunotherapy and Immune Responses (23 papers) and Immune Cell Function and Interaction (21 papers). G. Riethmüller is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (45 papers), Immunotherapy and Immune Responses (23 papers) and Immune Cell Function and Interaction (21 papers). G. Riethmüller collaborates with scholars based in Germany, Croatia and United States. G. Riethmüller's co-authors include Günter Schlimok, Klaus Pantel, Jens Witte, I. Funke, Peter Kufer, Jennifer Johnson, J�rgen Lehmann, Fritz Lindemann, Matthias Mack and J. P. Johnson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

G. Riethmüller

132 papers receiving 8.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Riethmüller 3.8k 3.2k 2.4k 1.5k 1.4k 137 8.9k
Gert Riethmüller 5.1k 1.3× 3.3k 1.1× 3.1k 1.3× 1.9k 1.2× 2.2k 1.5× 112 10.4k
Pier‐Luigi Lollini 3.8k 1.0× 4.0k 1.3× 4.4k 1.8× 1.3k 0.9× 1.3k 0.9× 254 10.0k
Karen Pulford 2.9k 0.8× 2.8k 0.9× 3.8k 1.6× 942 0.6× 1.8k 1.3× 108 11.2k
Gerhard Moldenhauer 2.7k 0.7× 2.9k 0.9× 3.4k 1.4× 1.8k 1.2× 860 0.6× 129 7.6k
Joost J. van den Oord 1.9k 0.5× 1.8k 0.6× 2.8k 1.1× 565 0.4× 1.3k 0.9× 167 7.8k
Hans Schreiber 6.7k 1.8× 7.9k 2.5× 3.6k 1.5× 1.0k 0.7× 1.4k 1.0× 252 13.1k
Peter Vandenberghe 2.2k 0.6× 2.7k 0.9× 3.1k 1.3× 986 0.6× 1.0k 0.7× 229 10.7k
Patrizia Nanni 2.5k 0.7× 2.6k 0.8× 2.8k 1.1× 910 0.6× 813 0.6× 171 6.5k
C. Ellen van der Schoot 1.4k 0.4× 2.4k 0.8× 2.8k 1.1× 1.3k 0.9× 781 0.5× 332 11.5k
Ulrich Schwab 2.1k 0.6× 1.4k 0.4× 2.2k 0.9× 901 0.6× 1.1k 0.8× 32 7.3k

Countries citing papers authored by G. Riethmüller

Since Specialization
Citations

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

Fields of papers citing papers by G. Riethmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Riethmüller

This figure shows the co-authorship network connecting the top 25 collaborators of G. Riethmüller. A scholar is included among the top collaborators of G. Riethmüller 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 G. Riethmüller. G. Riethmüller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Braun, Sepp, G. Schlimok, G. Eric Schaller, et al.. (2001). ErbB2 overexpression on occult metastatic cells in bone marrow predicts poor clinical outcome of stage I-III breast cancer patients.. PubMed. 61(5). 1890–5. 151 indexed citations
2.
3.
Holz, E, Klaus Pantel, & G. Riethmüller. (1998). Diagnosis and Therapeutic Relevance of Micrometastases. Recent results in cancer research. 146. 214–218. 4 indexed citations
4.
Kufer, Peter, Matthias Mack, Rudolf Gruber, et al.. (1997). Construction and biological activity of a recombinant bispecific single-chain antibody designed for therapy of minimal residual colorectal cancer. Cancer Immunology Immunotherapy. 45(3-4). 193–197. 37 indexed citations
5.
Pantel, Klaus, et al.. (1997). Disseminierte Tumorzellen: Diagnostik, prognostische Relevanz, Phänotypisierung und therapeutische Strategien. Der Chirurg. 68(12). 1241–1250. 27 indexed citations
6.
Schlimok, Günter & G. Riethmüller. (1995). Monoclonal Antibodies in the Therapy of Minimally Residual Solid Tumors. Oncology Research and Treatment. 18(5). 403–408. 4 indexed citations
7.
Pantel, Klaus, et al.. (1995). Immunocytochemical detection of isolated tumour cells in bone marrow of patients with untreated stage C prostatic cancer. European Journal of Cancer. 31(10). 1627–1632. 34 indexed citations
8.
Gruber, Rudolf, et al.. (1994). Detection of autoantibodies against M2, LKM‐1, and SLA in liver diseases by standardized uniform ELISA‐techniques. Journal of Clinical Laboratory Analysis. 8(5). 284–292. 6 indexed citations
9.
Pantel, Klaus, Jacob R. Izbicki, Matthias Angstwurm, et al.. (1993). Immunocytological detection of bone marrow micrometastasis in operable non-small cell lung cancer.. PubMed. 53(5). 1027–31. 146 indexed citations
10.
Pforte, A, et al.. (1993). Expression of the Adhesion Molecule ICAM-1 on Alveolar Macrophages and in Serum in Extrinsic Allergic Alveolitis. Respiration. 60(4). 221–226. 16 indexed citations
11.
Reiter, Christian, P Überfuhr, K Wenke, et al.. (1992). A new chimeric monoclonal CD4 antibody for prevention of rejection after heart transplantation.. PubMed. 24(5). 1734–1734. 2 indexed citations
12.
Liang, Shaohong, P. Rieber, Marie Prewett, et al.. (1991). Anti-idiotypic Antibodies Against Anti-CD4 Antibodies MT151 and OKT4A. Viral Immunology. 4(2). 83–90.
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14.
Feucht, Helmut E., Jörg Zwirner, Dorian Bevec, et al.. (1989). Biosynthesis of Complement C4 Messenger RNA in Normal Human Kidney. ˜The œNephron journals/Nephron journals. 53(4). 338–342. 37 indexed citations
15.
Holzmann, Bernhard, J�rgen Lehmann, H.W.L. Ziegler-Heitbrock, et al.. (1988). Glycoprotein P3.58, associated with tumor progression in malignant melanoma, is a novel leukocyte activation antigen. International Journal of Cancer. 41(4). 542–547. 39 indexed citations
16.
Funke, I., Amy B. Hahn, E. Peter Rieber, Elisabeth H. Weiss, & G. Riethmüller. (1987). The cellular receptor (CD4) of the human immunodeficiency virus is expressed on neurons and glial cells in human brain.. The Journal of Experimental Medicine. 165(4). 1230–1235. 99 indexed citations
17.
Haas, Judith, G. Riethmüller, & H.W.L. Ziegler-Heitbrock. (1987). Monocyte Phenotype and Function in Patients with the Acquired Immunodeficiency Syndrome (AIDS) and AIDS‐Related Disorders. Scandinavian Journal of Immunology. 26(4). 371–379. 36 indexed citations
18.
Holzmann, Bernhard, J. P. Johnson, Peter Kaudewitz, & G. Riethmüller. (1985). In situ analysis of antigens on malignant and benign cells of the melanocyte lineage. Differential expression of two surface molecules, gp75 and p89.. The Journal of Experimental Medicine. 161(2). 366–377. 41 indexed citations
19.
Ziegler-Heitbrock, H.W.L., Agnes Fütterer, Helmut Rumpold, et al.. (1984). The use of VEP13 monoclonal antibody for definition of natural killer cells: spontaneous killer cells directed against fresh human leukaemia cells carry the VEP13 antigen.. PubMed Central. 58(2). 470–7. 1 indexed citations
20.
Mißmahl, H. P. & G. Riethmüller. (1967). Lysosomen: Untersuchungen zur Feinstruktur und einfacher polarisationsoptischer Nachweis. Annals of Hematology. 15(4). 198–201. 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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