H. Baisch

6.5k citations
57 papers · 5.5k indexed · 2 hit papers · h-index 19

H. Baisch

56 papers receiving 5.3k citations

Hit Papers

Cell cycle analysis of a cell proliferation-associated hu...3.6k197520261992200910002.0k3.0k

Peers

H. Baisch
Comparison fields: 5 of 138
  • Cancer Research 1.1k
  • Oncology 1.6k
  • Immunology and Allergy 281
  • Pathology and Forensic Medicine 764
  • Immunology 869
Replace M. Duchrow with:
M. Duchrow Germany
Ermanno Gherardi United Kingdom
Ronald A. DeLellis United States
Tsutomu Kasugai Japan
Ulrich Schwab United Kingdom
Yoshito Ueyama Japan
Marc Mareel Belgium
Toru Kameya Japan
Ralph Schwall United States
Parkash S. Gill United States
H. Baisch relative to M. Duchrow Germany M. Duchrow's profile →
Citations per field
00.5×1.5×2.2×
M. Duchrow · 1×
Citations per year

Countries citing papers authored by H. Baisch

Since Specialization
Citations

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

Fields of papers citing papers by H. Baisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200213
2 200010
3 199920
4 199917
5 199815
6 199810
7 199516
8 199443
9 199322
10 19902
11 199011
12 19895
13 1988267
14 198810
15 1988142
16 198793
17 19797
18 19774
19
[Excretion of nucleic degradation products in relation to age and growth].
19773
20 197416

About H. Baisch

H. Baisch is a scholar working on Cancer Research, Oncology, Molecular Biology, Transplantation and Biophysics, having authored 57 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Renal cell carcinoma treatment (6 papers), Renal and related cancers (6 papers), Single-cell and spatial transcriptomics (4 papers), DNA Repair Mechanisms (4 papers), Cancer Cells and Metastasis (4 papers), RNA Interference and Gene Delivery (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.6k citations), Immunology and Allergy (281 citations), Pathology and Forensic Medicine (764 citations) and Immunology (869 citations). H. Baisch has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Johannes Gerdes, Hans Wacker, Hilmar Lemke, Ulrich Schwab, Harald Stein, W. Linden, W. Göhde, Günter Klöppel, Ulrich Otto and Dorothee Jablonski‐Westrich. Their work appears in journals such as Radiation and Environmental Biophysics, Cell Proliferation, The Journal of Urology, Cytometry and European Urology.

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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