J. David Becherer
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
Papers in
-
- Cell Adhesion Molecules Research 12
-
- Calcium signaling and nucleotide metabolism 5
- Co-authors
- Carl BlobelJohannes SchlöndorffJohn D. LambrisPaul TempstHediye Erdjument‐BromageMarcia L. MossLawrence LumGisela Weskamp
- Journals
- Journal of Biological Chemistry (8 papers)Journal of Medicinal Chemistry (3 papers)Biochemistry (3 papers)Combinatorial Chemistry & High Throughput Screening (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
J. David Becherer
51 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 109
- Immunology and Allergy 834
- Cancer Research 847
- Immunology 1.1k
- Oncology 1.4k
- Hematology 481
Countries citing papers authored by J. David Becherer
This map shows the geographic impact of J. David Becherer'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. David Becherer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. David Becherer more than expected).
Fields of papers citing papers by J. David Becherer
This network shows the impact of papers produced by J. David Becherer. 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. David Becherer. The network helps show where J. David Becherer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. David Becherer, 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 | 2020 | 1 | |
| 2 | 2020 | 14 | |
| 3 | 2015 | 31 | |
| 4 | 2010 | 62 | |
| 5 | 2008 | 47 | |
| 6 | 2008 | 56 | |
| 7 | 2006 | 162 | |
| 8 | 2005 | 13 | |
| 9 | 2003 | 2 | |
| 10 | 2003 | 75 | |
| 11 | 2002 | 29 | |
| 12 | 2001 | 53 | |
| 13 | 1999 | 134 | |
| 14 | 1999 | 260 | |
| 15 | 1997 | 86 | |
| 16 | 1995 | 179 | |
| 17 | 1994 | 485 | |
| 18 | 1991 | 33 | |
| 19 | 1990 | 29 | |
| 20 | Monoclonal anti c3 antibodies specific for either bound or fluid phase c3 mapping of their antigenic sites in c3 by the use of an expression minilibrary | 1988 | 1 |
About J. David Becherer
J. David Becherer is a scholar working on Immunology and Allergy, Physiology, Hematology, Immunology and Oncology, having authored 51 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Complement system in diseases (9 papers), Protease and Inhibitor Mechanisms (8 papers), Peptidase Inhibition and Analysis (7 papers), Blood groups and transfusion (7 papers), HER2/EGFR in Cancer Research (5 papers) and Calcium signaling and nucleotide metabolism (5 papers). The work is most often cited by research in Immunology and Allergy (834 citations), Cancer Research (847 citations), Immunology (1.1k citations), Oncology (1.4k citations) and Hematology (481 citations). J. David Becherer has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Carl Blobel, Johannes Schlöndorff, John D. Lambris, Paul Tempst, Hediye Erdjument‐Bromage, Marcia L. Moss, Lawrence Lum, Gisela Weskamp, Millard H. Lambert and Jochem Alsenz. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Biochemistry, Combinatorial Chemistry & High Throughput Screening and The Journal of Immunology.
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.