Th. Genz

22 papers receiving 337 citations

Peers

Th. Genz
Comparison fields: 5 of 44
  • Cancer Research 86
  • Oncology 142
  • Obstetrics and Gynecology 39
  • Immunology 42
  • Genetics 61
Replace Luis Z. Blanco with:
Luis Z. Blanco United States
Johann Lahodny Austria
Jaime Espinós Spain
Hiromitsu Yamakawa Japan
M K Heatley United Kingdom
Alfonso C. Almendral Switzerland
Janice K. Morihara United States
Henning Feist Germany
Naoyuki Iwahashi Japan
Nana K. Bündgen Germany
Th. Genz relative to Luis Z. Blanco United States Luis Z. Blanco's profile →
Citations per field
00.5×2×4×5.3×
Luis Z. Blanco · 1×
Citations per year

Countries citing papers authored by Th. Genz

Since Specialization
Citations

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

Fields of papers citing papers by Th. Genz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequent down-regulation of major histocompatibility class I antigen expression on individual micrometastatic carcinoma cells.
1991192
2 197749
3 197935
4 198028
5 200111
6 19828
7 19847
8 19857
9
Computed tomographic findings in myogenic gastric tumors.
19855
10 19945
11
[Isovolemic hemodilution for avoiding homologous blood transfusions: effectiveness in large gynecologic interventions].
19965
12
Comparison of the serum protein binding of digoxin in premature and mature newborns, infants and adults.
19853
13 19863
14 19923
15 19802
16 19842
17 19942
18 19962
19 19801
20 19851

About Th. Genz

Th. Genz is a scholar working on Cancer Research, Reproductive Medicine, Genetics, Pediatrics, Perinatology and Child Health and Biochemistry, having authored 27 papers that have together received 374 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Breast Cancer Treatment Studies (5 papers), Blood transfusion and management (2 papers), Skin and Cellular Biology Research (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Endometriosis Research and Treatment (2 papers), Pharmaceutical studies and practices (2 papers) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Cancer Research (86 citations), Oncology (142 citations), Obstetrics and Gynecology (39 citations), Immunology (42 citations) and Genetics (61 citations). Th. Genz has collaborated with scholars based in Germany and France. Frequent co-authors include Günter Schlimok, Baldur Wiebecke, Gert Riethmüller, Klaus Pantel, Ilona Funke, M. Schmidt‐Gollwitzer, Kunhard Pollow, Hartwig Clevė, Th. Dimpfl and Otto Richter. Their work appears in journals such as Archives of Gynecology and Obstetrics, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, European Journal of Pediatrics and Human Genetics.

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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