R. Kolb

416 citations
34 papers · 332 · h-index 10

Impact in

Papers in

R. Kolb

29 papers receiving 319 citations

Peers

R. Kolb
Comparison fields: 5 of 71
  • Cancer Research 125
  • Oncology 132
  • Genetics 85
  • Hematology 23
  • Pathology and Forensic Medicine 35
Replace C. I. Li with:
C. I. Li United States
A. Himmelmann Sweden
Manuela Tamburo De Bella Italy
Pascal St-Onge Canada
Tamara Kalir United States
В. В. Семиглазов Russia
Tallal Younis Canada
Jon D. Dorfman United States
Michel Coibion Belgium
Ingeborg B. Engelsen Norway
R. Kolb relative to C. I. Li United States C. I. Li's profile →
Citations per field
00.5×3.8×
C. I. Li · 1×
Citations per year

Countries citing papers authored by R. Kolb

Since Specialization
Citations

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

Fields of papers citing papers by R. Kolb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estrogen receptor analysis on biopsies and fine-needle aspirates from human breast carcinoma. Correlation of biochemical and immunohistochemical methods using monoclonal antireceptor antibodies.
198664
2 199946
3 198536
4 199928
5 200426
6 198720
7 198519
8 198015
9
Neurotoxicity and CSF level of three penicillins.
197610
10 19889
11
[Oestrogen receptors and prognosis in breast cancer].
19809
12 19988
13 19968
14 19816
15 19964
16
[Steroid receptor levels in human breast carcinomas in relation to serum hormone levels in postmenopausal patients (author's transl)].
19814
17 19763
18 20033
19
Enzyme activities in human breast tumor cells and sera.
19853
20
[Modern methods in the diagnosis of breast disease (author's transl)].
19752

About R. Kolb

R. Kolb is a scholar working on Genetics, Cancer Research, Oncology, Molecular Biology and Pharmacology, having authored 34 papers that have together received 332 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Breast Cancer Treatment Studies (9 papers), HER2/EGFR in Cancer Research (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Breast Lesions and Carcinomas (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (125 citations), Oncology (132 citations), Genetics (85 citations), Hematology (23 citations) and Pathology and Forensic Medicine (35 citations). R. Kolb has collaborated with scholars based in Austria and Germany. Frequent co-authors include R. Jakesz, G. Reiner, J. Spona, M. Schemper, Angelika Reiner, J.H. Holzner, W. Kwasny, Keith Moser, M. Stierer and Michael Fridrik. Their work appears in journals such as Infection, Journal of Cancer Research and Clinical Oncology, European Journal of Cancer, Multivariate Behavioral Research and Annals of Surgery.

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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