Max L. Tejada

1.8k citations
19 papers · 1.4k · h-index 12

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Protein purification and stability 5
    • Angiogenesis and VEGF in Cancer 3
    • Genomics and Chromatin Dynamics 3
    • Fungal and yeast genetics research 2
    • Monoclonal and Polyclonal Antibodies Research 8

Max L. Tejada

18 papers receiving 1.4k citations

Peers

Max L. Tejada
Comparison fields: 5 of 92
  • Radiology, Nuclear Medicine and Imaging 487
  • Reproductive Medicine 145
  • Immunology 329
  • Molecular Biology 862
  • Oncology 255
Replace Wei‐Hsiung Yang with:
Wei‐Hsiung Yang United States
Jui‐Lan Su United States
Anne Chauchereau France
Mladen Merćep United States
David B. Ring United States
Manuela Balzi Italy
Dietmar von der Ahe Germany
Wolfgang Schäfer Germany
Brendan J. Classon Australia
Tina Davis United States
Max L. Tejada relative to Wei‐Hsiung Yang United States Wei‐Hsiung Yang's profile →
Citations per field
00.5×3.0×
Wei‐Hsiung Yang · 1×
Citations per year

Countries citing papers authored by Max L. Tejada

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Max L. Tejada Line = papers co-authored together Max L. Tejada links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2015322
2 2004228
3 2004190
4 2003177
5 2016139
6 200695
7 201363
8 202054
9 201254
10 199947
11 200227
12 201619
13 199511
14 20064
15 20124
16 20143
17 20202
18 19932
19 19951

About Max L. Tejada

Max L. Tejada is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research, Genetics and Immunology, 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), Angiogenesis and VEGF in Cancer (3 papers), Genomics and Chromatin Dynamics (3 papers), Galectins and Cancer Biology (2 papers), Fungal and yeast genetics research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (487 citations), Reproductive Medicine (145 citations), Immunology (329 citations), Molecular Biology (862 citations) and Oncology (255 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, Jianying Dong and Xiao‐Huan Liang. Their work appears in journals such as Proceedings of the National Academy of Sciences, mAbs, Clinical Cancer Research, Analytical Chemistry and Nucleic Acids Research.

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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