Salvador Macip

3.6k citations
62 papers · 2.6k indexed · 1 hit paper · h-index 27
Topics
Cancer-related Molecular Pathways (14 papers)Chronic Lymphocytic Leukemia Research (12 papers)Telomeres, Telomerase, and Senescence (9 papers)

In The Last Decade

Salvador Macip

59 papers receiving 2.6k citations

Hit Papers

The BCL2 family: from apoptosis mechanisms to new advance...2025202620251020304050

Peers

Salvador Macip
Comparison fields: 5 of 123
  • Molecular Biology 1.5k
  • Physiology 539
  • Oncology 529
  • Immunology 492
  • Cancer Research 365
Replace Emanuela Grassilli with:
Emanuela Grassilli Italy
Liqin Wang China
Michael J. Ausserlechner Austria
Megan Cully United Kingdom
Shan Jiang China
Masood A. Shammas United States
Katarzyna Piwocka Poland
Ezgi Tasdemir France
Wei Zhuo China
Wenyong Chen United States
Salvador Macip relative to Emanuela Grassilli Italy Emanuela Grassilli's profile →
Citations per field
00.5×5.2×
Emanuela Grassilli · 1×
Citations per year

Countries citing papers authored by Salvador Macip

Since Specialization
Citations

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

Fields of papers citing papers by Salvador Macip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvador Macip

This figure shows the co-authorship network connecting the top 25 collaborators of Salvador Macip. A scholar is included among the top collaborators of Salvador Macip 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 Salvador Macip. Salvador Macip 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 0
2 5
3 1
4 5
5 37
6 18
7 5
8 19
9 33
10 27
11 21
12 48
13 42
14 1
15 32
16 193
17 18
18 3
19 206
20 303

About Salvador Macip

Salvador Macip is a scholar working on Genetics, Oncology and Hematology, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (14 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Telomeres, Telomerase, and Senescence (9 papers). The work is most often cited by research in Aging (93 citations), Cancer Research (365 citations) and Immunology (492 citations). Salvador Macip has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Sam W. Lee, Stuart A. Aaronson, Mohammad Althubiti, Jian Yu, Makoto Igarashi, Petra Berggren, Miran Rada, George D.D. Jones, Marta Poblocka and Junji Sagara. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO 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.

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