Bader Siddiqui
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Physiology top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- Sen‐itiroh HakomoriYoung S. KimJames S. WhiteheadYu‐Teh LiCarl Gustaf HellerqvistSu‐Chen LiJames W. HicksDean Tsao
- Topics
- Glycosylation and Glycoproteins Research (16 papers)Carbohydrate Chemistry and Synthesis (7 papers)Digestive system and related health (3 papers)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
Bader Siddiqui
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 916
- Organic Chemistry 327
- Physiology 202
- Immunology 188
- Cell Biology 145
Countries citing papers authored by Bader Siddiqui
This map shows the geographic impact of Bader Siddiqui'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 Siddiqui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bader Siddiqui more than expected).
Fields of papers citing papers by Bader Siddiqui
This network shows the impact of papers produced by Bader Siddiqui. 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 Siddiqui. The network helps show where Bader Siddiqui may publish in the future.
Co-authorship network of co-authors of Bader Siddiqui
This figure shows the co-authorship network connecting the top 25 collaborators of Bader Siddiqui. A scholar is included among the top collaborators of Bader Siddiqui 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 Siddiqui. Bader Siddiqui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Expression of native and deglycosylated colon cancer mucin antigens in normal and malignant epithelial tissues. | 24 |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 25 | |
| 6 | Isolation and characterization of colon cancer mucin from xenografts of LS174T cells. | 47 |
| 7 | Cancer-associated colonic mucin in cultured human tumor cells and athymic (nude) mouse xenografts. | 24 |
| 8 | Differential expression of ganglioside GD3 by human leukocytes and leukemia cells. | 64 |
| 9 | Effects of sodium butyrate, dimethyl sulfoxide, and retinoic acid on glycolipids of human rectal adenocarcinoma cells. | 27 |
| 10 | 12 | |
| 11 | 214 | |
| 12 | 71 | |
| 13 | 60 | |
| 14 | 102 | |
| 15 | 54 | |
| 16 | 192 | |
| 17 | 169 | |
| 18 | Change of glycolipid pattern in Morris hepatomas 5123 and 7800. | 65 |
About Bader Siddiqui
Bader Siddiqui is a scholar working on Organic Chemistry, Biochemistry and Molecular Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (16 papers), Carbohydrate Chemistry and Synthesis (7 papers) and Digestive system and related health (3 papers). The work is most often cited by research in Molecular Biology (916 citations), Organic Chemistry (327 citations) and Immunology (188 citations). Bader Siddiqui has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Sen‐itiroh Hakomori, Young S. Kim, James S. Whitehead, Yu‐Teh Li, Carl Gustaf Hellerqvist, Su‐Chen Li, James W. Hicks, Dean Tsao, James A. Bennett and Paul Arnstein. Their work appears in journals such as Journal of Biological Chemistry, Cancer and Biochemical Journal.
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.