M. Stegmüller

400 total citations
12 papers, 324 citations indexed

About

M. Stegmüller is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, M. Stegmüller has authored 12 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in M. Stegmüller's work include Reproductive System and Pregnancy (2 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. Stegmüller is often cited by papers focused on Reproductive System and Pregnancy (2 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). M. Stegmüller collaborates with scholars based in Germany, Sweden and Italy. M. Stegmüller's co-authors include Renate Strohmeier, Maritta Kühnert, Gϋnter von Minckwitz, Christine Solbach, Sibylle Loibl, Manfred Kaufmann, Klaus Strebhardt, Georg Wolf, Rainald Knecht and H. Kühl and has published in prestigious journals such as Oncogene, European Journal of Cancer and Neoplasia.

In The Last Decade

M. Stegmüller

10 papers receiving 317 citations

Peers

M. Stegmüller

MB

ONCOL

CB

IMMUN

PHEOH

Daniel Y. Paik United States

Jane Ruman United States

Alexander Henke Germany

Y Tsuruta Japan

V Davis United States

Kristen Bunch United States

Mogens Knoth Denmark

Yuka Namiki Japan

Young‐Ju Kang South Korea

Takamitsu Matsushima Japan

Daniel Y. Paik United States

M. Stegmüller

140 ×1.0

MB

107 ×0.8

ONCOL

29 ×0.3

CB

68 ×0.7

IMMUN

55 ×1.0

PHEOH

Citations per year, relative to M. Stegmüller M. Stegmüller (= 1×) peers Daniel Y. Paik

Countries citing papers authored by M. Stegmüller

Since Specialization

Citations

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

Fields of papers citing papers by M. Stegmüller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Stegmüller

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

All Works

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12 of 12 papers shown

1.

Stegmüller, M., et al.. (2012). Complementary and Alternative Medications Consumed by Patients With Head and Neck Carcinoma: A Pilot Study in Germany. Nutrition and Cancer. 64(3). 377–385. 3 indexed citations

2.

Kusterer, Klaus, et al.. (2009). Macrophage and lymphocyte homing in experimental diabetes. Experimental and Clinical Endocrinology & Diabetes. 107(S 03). S102–S107.

3.

Wolf, Georg, Christine Solbach, Sibylle Loibl, et al.. (2002). Downregulation of human polo-like kinase activity by antisense oligonucleotides induces growth inhibition in cancer cells. Oncogene. 21(20). 3162–3171. 133 indexed citations

4.

Solbach, Christine, Anja Sterner‐Kock, Marc Roller, et al.. (2002). Antitumor Effect of MAb EMD 55900 Depends on EGF-R Expression and Histopathology. Neoplasia. 4(3). 237–242. 4 indexed citations

5.

Kühnert, Maritta, et al.. (1998). Changes in lymphocyte subsets during normal pregnancy. European Journal of Obstetrics & Gynecology and Reproductive Biology. 76(2). 147–151. 104 indexed citations

6.

Schröder, W., et al.. (1997). Lymphocyte subsets in patients with ovarian and breast cancer.. PubMed. 18(6). 474–7. 15 indexed citations

7.

Correale, M., Henrik Arnberg, P. Blockx, et al.. (1994). Clinical Profile of a New Monoclonal Antibody-Based Immunoassay for Tissue Polypeptide Antigen. The International Journal of Biological Markers. 9(4). 231–238. 19 indexed citations

8.

Hg, Schnürch, et al.. (1994). Growth inhibition of xenotransplanted human carcinomas by a monoclonal antibody directed against the epidermal growth factor receptor. European Journal of Cancer. 30(4). 491–496. 18 indexed citations

9.

Stegmüller, M., et al.. (1991). [Influences on steroid receptor levels and their significance for clinical practice].. PubMed. 24(1). 22–7. 1 indexed citations

10.

Fortmeyer, H. P., et al.. (1987). Oestrogen related hormone receptor modulation in human breast cancer xeno-transplanted into nude mice. part II Long term modulation. Journal of Steroid Biochemistry. 28. 156–156. 1 indexed citations

11.

Fortmeyer, H. P., et al.. (1987). Estrogen related hormone receptor modulation in human breast and endometrial cancer xenotransplanted into nude mice.part I: short term modulation. Journal of Steroid Biochemistry. 28. 156–156.

12.

Kühl, H., et al.. (1983). The effect of sex steroids and hormonal contraceptives upon thymus and spleen of intact female rats. Contraception. 28(6). 587–601. 26 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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