Danislav S. Spassov

933 citations
22 papers · 660 indexed · h-index 14
Topics
Cell Adhesion Molecules Research (6 papers)Protein Kinase Regulation and GTPase Signaling (5 papers)Wnt/β-catenin signaling in development and cancer (5 papers)

In The Last Decade

Danislav S. Spassov

22 papers receiving 653 citations

Peers

Danislav S. Spassov
Comparison fields: 5 of 81
  • Molecular Biology 449
  • Oncology 110
  • Immunology 93
  • Immunology and Allergy 71
  • Cell Biology 66
Replace Shouyuan Zhao with:
Shouyuan Zhao China
Deanna J. Volle United States
Natalie L. Stephenson United Kingdom
Matı́as Blaustein Argentina
Kathrin Laaß Germany
Aidan J. McFall United States
María José Sandí France
Gina Fusaro United States
Nicole Comtesse Germany
S. Babak Azimifar Germany
Danislav S. Spassov relative to Shouyuan Zhao China Shouyuan Zhao's profile →
Citations per field
00.5×3.6×
Shouyuan Zhao · 1×
Citations per year

Countries citing papers authored by Danislav S. Spassov

Since Specialization
Citations

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

Fields of papers citing papers by Danislav S. Spassov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danislav S. Spassov. 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 Danislav S. Spassov. The network helps show where Danislav S. Spassov may publish in the future.

Co-authorship network of co-authors of Danislav S. Spassov

This figure shows the co-authorship network connecting the top 25 collaborators of Danislav S. Spassov. A scholar is included among the top collaborators of Danislav S. Spassov 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 Danislav S. Spassov. Danislav S. Spassov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 24
2 2
3 7
4 41
5 6
6 9
7 13
8 40
9 64
10 22
11 10
12 7
13 26
14 40
15 35
16 16
17 51
18 131
19 78
20 23

About Danislav S. Spassov

Danislav S. Spassov is a scholar working on Immunology and Allergy, Cell Biology and Hematology, having authored 22 papers that have together received 660 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). The work is most often cited by research in Immunology and Allergy (71 citations), Aging (12 citations) and Molecular Biology (449 citations). Danislav S. Spassov has collaborated with scholars based in United States, Bulgaria and Netherlands. Frequent co-authors include Roland Jurecic, Mark M. Moasser, Ching Hang Wong, Mariyana Atanasova, Irini Doytchinova, Ana Ruiz-Sáenz, Frederick L. Baehner, Deepika Ahuja, Amit S. Piple and Stephen McDonough. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Molecular and Cellular 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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