J. Bertram

982 citations
26 papers · 756 · h-index 13

Impact in

Papers in

J. Bertram

25 papers receiving 724 citations

Peers

J. Bertram
Comparison fields: 5 of 86
  • Molecular Biology 429
  • Pathology and Forensic Medicine 82
  • Immunology 97
  • Pollution 53
  • Oncology 109
Replace Jeffrey W. Craig with:
Jeffrey W. Craig United States
Samantha Bennett United Kingdom
Iole Paoletti Italy
Elisa Binda Italy
Raymond A. Grant United States
Shaun Spence United Kingdom
Keiko Matsui Japan
Hisayoshi Nakazawa France
Narasimha Reddy Parine Saudi Arabia
Yujun Li China
J. Bertram relative to Jeffrey W. Craig United States Jeffrey W. Craig's profile →
Citations per field
00.5×2.6×
Jeffrey W. Craig · 1×
Citations per year

Countries citing papers authored by J. Bertram

Since Specialization
Citations

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

Fields of papers citing papers by J. Bertram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991103
2 199479
3 198973
4 199870
5 199755
6 198955
7 199250
8 199043
9 199641
10 199834
11 199529
12 199928
13
[The primary structure of a monoclonal IgM-immunoglobulin (macroglobulin Gal.), II: the amino acid sequence of the H-chain (mu-type), subgroup H III. Architecture of the complete IgM-molecule (author's transl)].
197526
14 200612
15 199212
16 199511
17
Short technical reports. Quantification of ribozyme-mediated RNA cleavage using silver-stained polyacrylamide gels.
199510
18 20018
19 19816
20 20214

About J. Bertram

J. Bertram is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Hematology, having authored 26 papers that have together received 756 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Platelet Disorders and Treatments (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Molecular Biology (429 citations), Pathology and Forensic Medicine (82 citations), Immunology (97 citations), Pollution (53 citations) and Oncology (109 citations). J. Bertram has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Michael Kneba, Wolfgang Hiddemann, Michael Strätz, Peter Dürre, G. Gottschalk, Wolfgang Hiddemann, I Bolz, Burkhard Linke, Anita Kuhn and Gerhard Gottschalk. Their work appears in journals such as Archives of Microbiology, European Journal of Cancer, Anti-Cancer Drugs, Thrombosis Research and Blood.

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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