M Baum

2.8k citations
24 papers · 481 indexed · h-index 10

M Baum

23 papers receiving 456 citations

Peers

M Baum
Comparison fields: 5 of 68
  • Genetics 266
  • Cancer Research 140
  • Oncology 253
  • Reproductive Medicine 44
  • Endocrinology, Diabetes and Metabolism 79
Replace M. Ziller with:
M. Ziller Germany
Elwine Halewijn Netherlands
Richard N. Watkins United States
T M Mack United States
D B Thomas United States
E. E. Calle United States
A. Jones United Kingdom
Nancylee J. Friedlander United States
C J Williams United Kingdom
Alexander Duke United States
M Baum relative to M. Ziller Germany M. Ziller's profile →
Citations per field
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M. Ziller · 1×
Citations per year

Countries citing papers authored by M Baum

Since Specialization
Citations

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

Fields of papers citing papers by M Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Utilizing biofeedback as a behavioral change strategy in overweight and obese cancer survivors to promote physical activity: A focus group analysis
20211
2 20072
3 200670
4 20062
5 200416
6 200221
7
Management of premenopausal women with early breast cancer. Is there a role for Goserelin?
20018
8 200116
9 200055
10
Using an interactive video disk in breast cancer patient support.
199930
11 19987
12 19984
13 19987
14 1994117
15 199315
16 199084
17
Is there a role for perioperative adjuvant therapy in the treatment of early breast cancer?
19881
18
Delay in presentation of women with breast disease.
19769
19
Proceedings: macrophage phagocytic activity in patients with breast cancer.
19735
20
Treatment of early breast cancer: the organization of a 'national trial'.
19712

About M Baum

M Baum is a scholar working on Oncology, Cancer Research and Genetics, having authored 24 papers that have together received 481 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Breast Cancer Treatment Studies (5 papers), Cancer Risks and Factors (3 papers), Global Cancer Incidence and Screening (3 papers), BRCA gene mutations in cancer (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer survivorship and care (2 papers) and Advances in Oncology and Radiotherapy (2 papers). The work is most often cited by research in Genetics (266 citations), Cancer Research (140 citations) and Oncology (253 citations). M Baum has collaborated with scholars based in United Kingdom, Italy and Canada. Frequent co-authors include Lesley Fallowfield, Roger A’Hern, J. Houghton, Nigel Sacks, N Sacks, Jo Marsden, Malcolm Whitehead, S. Ashley, Mary O’Brien and Jane B. Davey. Their work appears in journals such as European Journal of Cancer, British Journal of Cancer, Journal of the Royal Society of Medicine, Trends in Endocrinology and Metabolism and Breast Cancer Research and Treatment.

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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