Sandeep Gopal

1.5k citations
27 papers · 1.2k · h-index 17

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Pluripotent Stem Cells Research 2
    • Proteoglycans and glycosaminoglycans research 7
    • Cellular Mechanics and Interactions 6

Sandeep Gopal

26 papers receiving 1.2k citations

Peers

Sandeep Gopal
Comparison fields: 5 of 99
  • Cell Biology 562
  • Immunology and Allergy 181
  • Aging 46
  • Cancer Research 186
  • Molecular Biology 569
Replace Tim Eiseler with:
Tim Eiseler Germany
Katharina Röck Germany
Harunobu Ozaki Japan
Hiroyasu Inada Japan
Béla Z. Schmidt United States
Raudel Sandoval United States
Manuel A. Pallero United States
Thomas J. Hornyak United States
Xiang‐Xi Xu United States
Jamila Laoukili Netherlands
Sandeep Gopal relative to Tim Eiseler Germany Tim Eiseler's profile →
Citations per field
00.5×5.8×
Tim Eiseler · 1×
Citations per year

Countries citing papers authored by Sandeep Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandeep Gopal, 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 Sandeep Gopal Line = papers co-authored together Sandeep Gopal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009203
2 2017138
3 2015134
4 202088
5 201484
6 201571
7 201065
8 201250
9 202148
10 201647
11 201039
12 201234
13 201932
14 201925
15 201923
16 201218
17 202116
18 201911
19 20179
20 20216

About Sandeep Gopal

Sandeep Gopal is a scholar working on Molecular Biology, Cell Biology, Aging, Immunology and Allergy and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Proteoglycans and glycosaminoglycans research (7 papers), Cellular Mechanics and Interactions (6 papers), Cell Adhesion Molecules Research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Reproductive Biology and Fertility (3 papers), Pluripotent Stem Cells Research (2 papers) and Polysaccharides and Plant Cell Walls (2 papers). The work is most often cited by research in Cell Biology (562 citations), Immunology and Allergy (181 citations), Aging (46 citations), Cancer Research (186 citations) and Molecular Biology (569 citations). Sandeep Gopal has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include John Couchman, Xiaojie Xian, Hinke A.B. Multhaupt, Roger Pocock, Hooi Ching Lim, James R. Whiteford, Csilla Pataki, Elena Okina, Atsuko Yoneda and Tommaso Simoncini. Their work appears in journals such as Nature Communications, Molecular Human Reproduction, Cell Reports, Journal of Biological Chemistry and Open Biology.

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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