Bader Siddiki

1.9k citations
14 papers · 1.6k indexed · h-index 13
Topics
Glycosylation and Glycoproteins Research (14 papers)Carbohydrate Chemistry and Synthesis (8 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Bader Siddiki

14 papers receiving 1.6k citations

Peers

Bader Siddiki
Comparison fields: 5 of 76
  • Molecular Biology 1.3k
  • Organic Chemistry 484
  • Immunology 413
  • Surgery 407
  • Oncology 338
Replace J P Audie with:
J P Audie France
John B. Lowe United States
Trevor Duhig United Kingdom
F Buijs Netherlands
F G Hanisch Germany
Leif Lindholm Sweden
Elena Korchagina Russia
Y S Kim United States
Pei‐Xiang Xing Australia
Petr Malý Czechia
Bader Siddiki relative to J P Audie France J P Audie's profile →
Citations per field
00.5×3.3×
J P Audie · 1×
Citations per year

Countries citing papers authored by Bader Siddiki

Since Specialization
Citations

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

Fields of papers citing papers by Bader Siddiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bader Siddiki

This figure shows the co-authorship network connecting the top 25 collaborators of Bader Siddiki. A scholar is included among the top collaborators of Bader Siddiki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bader Siddiki. Bader Siddiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 93
2 3
3 22
4 27
5
Association of sialyl-Lewis(a) and sialyl-Lewis(x) with MUC-1 apomucin ina pancreatic cancer cell line.
47
6 130
7 377
8 157
9
Multiple forms of intracellular and secreted mucins in a pancreatic cancer cell line.
14
10
Monoclonal antibodies against partially deglycosylated colon cancer mucin that recognize Tn antigen.
27
11 325
12 61
13
Relationship of pancreatic cancer apomucin to mammary and intestinal apomucins.
34
14 327

About Bader Siddiki

Bader Siddiki is a scholar working on Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Carbohydrate Chemistry and Synthesis (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Immunology (413 citations), Molecular Biology (1.3k citations) and Organic Chemistry (484 citations). Bader Siddiki has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include James R. Gum, James W. Hicks, Neil W. Toribara, James C. Byrd, Young S. Kim, Y S Kim, Derek T. A. Lamport, Jenny J. L. Ho, R.L. Lagace and Dallas M. Swallow. Their work appears in journals such as Journal of Biological Chemistry, Cancer and Biochemical and Biophysical Research Communications.

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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