I Bolz
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 10
- Genetics 9
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Michael Kneba (17 shared papers)Burkhard Linke (6 shared papers)Wolfgang Hiddemann (3 shared papers)Christiane Pott (5 shared papers)J. Bertram (3 shared papers)Trang Le (2 shared papers)Ulrich Jäger (2 shared papers)Christine Mannhalter (2 shared papers)
- Journals
- Blood (5 papers)Leukemia (3 papers)The Journal of Pathology (2 papers)International Journal of Cancer (1 paper)Cancer (1 paper)
- Partner nations
- Germany
In The Last Decade
I Bolz
16 papers receiving 553 citations
Peers
Comparison fields: 5 of 37
- Pathology and Forensic Medicine 299
- Genetics 170
- Hematology 91
- Oncology 168
- Immunology 133
Countries citing papers authored by I Bolz
This map shows the geographic impact of I Bolz'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 I Bolz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Bolz more than expected).
Fields of papers citing papers by I Bolz
This network shows the impact of papers produced by I Bolz. 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 I Bolz. The network helps show where I Bolz may publish in the future.
Co-authors
The 25 scholars most cited alongside I Bolz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 117 | |
| 2 | 2000 | 87 | |
| 3 | 1994 | 79 | |
| 4 | 1995 | 72 | |
| 5 | 1997 | 55 | |
| 6 | Frequency and structure of t(14;18) major breakpoint regions in non-Hodgkin's lymphomas typed according to the Kiel classification: analysis by direct DNA sequencing. | 1991 | 41 |
| 7 | 1998 | 36 | |
| 8 | Use of UITma DNA polymerase improves the PCR detection of rearranged immunoglobulin heavy chain CDR3 junctions. | 1995 | 17 |
| 9 | 1991 | 12 | |
| 10 | 1990 | 11 | |
| 11 | 1990 | 11 | |
| 12 | 1990 | 8 | |
| 13 | 1995 | 6 | |
| 14 | 2000 | 4 | |
| 15 | Binding characteristics of three complement dependent assays for the detection of immune complexes in human serum. | 1985 | 3 |
| 16 | 1994 | 2 | |
| 17 | 1988 | 0 |
About I Bolz
I Bolz is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Molecular Biology, having authored 17 papers that have together received 561 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Viral-associated cancers and disorders (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), CAR-T cell therapy research (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (299 citations), Genetics (170 citations), Hematology (91 citations), Oncology (168 citations) and Immunology (133 citations). I Bolz has collaborated with scholars based in Germany. Frequent co-authors include Michael Kneba, Burkhard Linke, Wolfgang Hiddemann, Christiane Pott, J. Bertram, Wolfgang Hiddemann, Trang Le, Ulrich Jäger, Christine Mannhalter and Andreas Chott. Their work appears in journals such as Blood, Leukemia, The Journal of Pathology, International Journal of Cancer and Cancer.
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.