Heinrich Maass

593 citations
32 papers · 429 indexed · h-index 10

Heinrich Maass

30 papers receiving 394 citations

Peers

Heinrich Maass
Comparison fields: 5 of 71
  • Cancer Research 134
  • Genetics 235
  • Oncology 158
  • Pathology and Forensic Medicine 38
  • Endocrinology, Diabetes and Metabolism 33
Replace A. Koenders with:
A. Koenders Netherlands
G C Chamness United States
Osborne Ck United States
G. Trams Germany
Roberto E. Garola United States
P Briand Denmark
WR Miller United Kingdom
Elisabetta Marchetti Italy
J R Borst United States
J Goussard France
Heinrich Maass relative to A. Koenders Netherlands A. Koenders's profile →
Citations per field
00.5×
A. Koenders · 1×
Citations per year

Countries citing papers authored by Heinrich Maass

Since Specialization
Citations

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

Fields of papers citing papers by Heinrich Maass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Heinrich Maass, 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 Heinrich Maass Line = papers co-authored together Heinrich Maass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199731
2 19960
3
[Immunohistochemical detection of nuclear estrogen receptors with monoclonal antibodies in different types of breast cancer].
19868
4
Immunohistochemical measurement of estrogen receptors in breast cancer tissue samples.
198655
5 198314
6 198016
7 198054
8
Some comments on the necessity of receptor determination in human breast cancer.
197832
9
[Hormone therapy of breast cancer].
19764
10 197524
11 197544
12 19752
13 19758
14
Progesterone in the uterus. 3. On the question of progesterone metabolism in the uterus of pregnant rats.
19744
15
[Estrogen receptors in breast cancers and endocrine therapy].
19742
16 19729
17 19650
18
[Results of roentgenological thorax examination in the puerperium].
19612
19
[Effect of roentgen rays on protein synthesis].
19582
20 19564

About Heinrich Maass

Heinrich Maass is a scholar working on Genetics, Cancer Research and Oncology, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Steroid Chemistry and Biochemistry (2 papers), Historical Medical Research and Treatments (1 paper), ECG Monitoring and Analysis (1 paper) and Veterinary Medicine and Surgery (1 paper). The work is most often cited by research in Cancer Research (134 citations), Genetics (235 citations) and Oncology (158 citations). Heinrich Maass has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include W. Jonat, G. Trams, H.-E. Stegner, H. Nowakowski, A Drochmans, E Engelsman, Jean-Claude Heuson, I. Schreer, L. G. Sobrinho and Uwe Hoffmann.

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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