Max L. Tejada
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
Papers in
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- Monoclonal and Polyclonal Antibodies Research 8
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- Glycosylation and Glycoproteins Research 8
- Protein purification and stability 5
- Genomics and Chromatin Dynamics 3
- Angiogenesis and VEGF in Cancer 3
- Fungal and yeast genetics research 2
- Co-authors
- Dietmar ReuschNapoleone FerraraFranklin PealeJennifer LeCouterGretchen FrantzConstance ZlotMarco ThomannHans‐Peter Gerber
- Journals
- mAbs (2 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical Cancer Research (1 paper)PDA Journal of Pharmaceutical Science and Technology (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Max L. Tejada
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Radiology, Nuclear Medicine and Imaging 498
- Reproductive Medicine 153
- Immunology 349
- Molecular Biology 922
- Cancer Research 159
Countries citing papers authored by Max L. Tejada
This map shows the geographic impact of Max L. Tejada'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 Max L. Tejada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max L. Tejada more than expected).
Fields of papers citing papers by Max L. Tejada
This network shows the impact of papers produced by Max L. Tejada. 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 Max L. Tejada. The network helps show where Max L. Tejada may publish in the future.
Co-authors
The 25 scholars most cited alongside Max L. Tejada, 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 | 52 | |
| 3 | 2016 | 135 | |
| 4 | 2016 | 19 | |
| 5 | 2015 | 310 | |
| 6 | 2014 | 3 | |
| 7 | 2013 | 62 | |
| 8 | 2012 | 4 | |
| 9 | 2012 | 54 | |
| 10 | 2006 | 94 | |
| 11 | 2006 | 4 | |
| 12 | 2004 | 228 | |
| 13 | 2004 | 189 | |
| 14 | 2003 | 173 | |
| 15 | 2002 | 27 | |
| 16 | 1999 | 47 | |
| 17 | 1995 | 11 | |
| 18 | 1995 | 1 | |
| 19 | 1993 | 2 |
About Max L. Tejada
Max L. Tejada is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research, Statistics, Probability and Uncertainty and Biochemistry, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (5 papers), Genomics and Chromatin Dynamics (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Fungal and yeast genetics research (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (498 citations), Reproductive Medicine (153 citations), Immunology (349 citations), Molecular Biology (922 citations) and Cancer Research (159 citations). Max L. Tejada has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Dietmar Reusch, Napoleone Ferrara, Franklin Peale, Jennifer LeCouter, Gretchen Frantz, Constance Zlot, Marco Thomann, Hans‐Peter Gerber, Xiao‐Huan Liang and Lanlan Yu. Their work appears in journals such as mAbs, Proceedings of the National Academy of Sciences, Clinical Cancer Research, PDA Journal of Pharmaceutical Science and Technology and Analytical Chemistry.
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.