M Witt

1.5k citations
14 papers · 1.1k · h-index 12

Impact in

Papers in

    • Cell death mechanisms and regulation 3
    • Glycosylation and Glycoproteins Research 1
    • Pancreatic and Hepatic Oncology Research 3

M Witt

12 papers receiving 1.1k citations

Peers

M Witt
Comparison fields: 5 of 76
  • Geriatrics and Gerontology 142
  • Endocrinology, Diabetes and Metabolism 215
  • Oncology 348
  • Cancer Research 156
  • Physiology 48
Replace Luisa Salvatori with:
Luisa Salvatori Italy
Robert X.-D. Song United States
Huaiping Zhu United States
Szabolcs Fátrai Netherlands
José Manuel García-Martínez Spain
Huadong Pei United States
Magali Joffraud Switzerland
Takanobu Yamamoto Japan
Dennis Sohn Germany
M Witt relative to Luisa Salvatori Italy Luisa Salvatori's profile →
Citations per field
00.5×
Luisa Salvatori · 1×
Citations per year

Countries citing papers authored by M Witt

Since Specialization
Citations

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

Fields of papers citing papers by M Witt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004218
2 2008213
3
Sexual dimorphism of blood pressure in spontaneously hypertensive rats: effects of anti-androgen treatment.
1989139
4 2006110
5 2005103
6 200384
7 199479
8 199351
9 200645
10 200742
11 199636
12 200526
13
Therapeutic synergism (ts) of ara-c plus methotrexate (mtx) against murine leukemia l1210. Abstr.
19811
14 20150

About M Witt

M Witt is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Cancer Research and Immunology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), NF-κB Signaling Pathways (3 papers), Neuropeptides and Animal Physiology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Cancer Genomics and Diagnostics (1 paper) and Hormonal and reproductive studies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (142 citations), Endocrinology, Diabetes and Metabolism (215 citations), Oncology (348 citations), Cancer Research (156 citations) and Physiology (48 citations). M Witt has collaborated with scholars based in Germany, Poland and Italy. Frequent co-authors include Ulrich R. Fölsch, H. Schäfer, Susanne Sebens Müerköster, Alexander Arlt, Günter Klöppel, Bence Sipos, Holger Kalthoff, Wolfgang E. Schmidt, Thorsten Sebens and Frank Zimmermann‐Viehoff. Their work appears in journals such as Oncogene, Cancer Research, Gastroenterology, European Journal of Biochemistry and International Journal of Cancer.

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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