Diego Carrera

1.9k total citations · 1 hit paper
6 papers, 855 citations indexed

About

Diego Carrera is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Diego Carrera has authored 6 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Diego Carrera's work include Glioma Diagnosis and Treatment (3 papers), Immune cells in cancer (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Diego Carrera is often cited by papers focused on Glioma Diagnosis and Treatment (3 papers), Immune cells in cancer (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Diego Carrera collaborates with scholars based in United States and Germany. Diego Carrera's co-authors include Hideho Okada, Gary Kohanbash, Payal Watchmaker, Manish K. Aghi, Garima Yagnik, Aparna Bhaduri, Arnold R. Kriegstein, Martina Malatesta, Nduka Amankulor and Sören Müller and has published in prestigious journals such as Journal of Clinical Investigation, Genome biology and Neuro-Oncology.

In The Last Decade

Diego Carrera

6 papers receiving 851 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment

2017 434 citations Sören Müller, Gary Kohanbash et al. Genome biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diego Carrera United States	5	470	386	305	250	219	6	855
Klara Soukup Austria	10	437 0.9×	316 0.8×	299 1.0×	299 1.2×	127 0.6×	18	894
Tyler Alban United States	15	397 0.8×	255 0.7×	307 1.0×	377 1.5×	163 0.7×	33	938
Álvaro López‐Janeiro Spain	11	303 0.6×	286 0.7×	159 0.5×	335 1.3×	120 0.5×	21	730
Brittany C. Parker Kerrigan United States	14	220 0.5×	273 0.7×	675 2.2×	210 0.8×	430 2.0×	26	1.0k
Lukas Bunse Germany	15	322 0.7×	318 0.8×	224 0.7×	372 1.5×	102 0.5×	44	778
Jillian Phallen United States	13	372 0.8×	282 0.7×	315 1.0×	494 2.0×	301 1.4×	31	1.1k
Kiek Verrijp Netherlands	12	210 0.4×	174 0.5×	380 1.2×	195 0.8×	162 0.7×	15	774
Carl Koschmann United States	18	120 0.3×	530 1.4×	428 1.4×	181 0.7×	249 1.1×	79	935
Corina Taitt United States	7	396 0.8×	621 1.6×	230 0.8×	659 2.6×	145 0.7×	14	1.2k
Zineb Belcaid United States	13	405 0.9×	310 0.8×	148 0.5×	472 1.9×	52 0.2×	24	744

Countries citing papers authored by Diego Carrera

Since Specialization

Citations

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

Fields of papers citing papers by Diego Carrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diego Carrera

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Carrera, Diego, et al.. (2022). Catastrophic delayed cervical arthroplasty failure: illustrative case. Journal of Neurosurgery Case Lessons. 3(11). 1 indexed citations

2.

Chandra, Ankush, Jonathan W. Rick, Cecilia Dalle Ore, et al.. (2018). Disparities in health care determine prognosis in newly diagnosed glioblastoma. Neurosurgical FOCUS. 44(6). E16–E16. 40 indexed citations

3.

Carrera, Diego, et al.. (2018). An oncolytic measles virus–sensitive Group 3 medulloblastoma model in immune-competent mice. Neuro-Oncology. 20(12). 1606–1615. 19 indexed citations

4.

Müller, Sören, Gary Kohanbash, Siyuan Liu, et al.. (2017). Single-cell profiling of human gliomas reveals macrophage ontogeny as a basis for regional differences in macrophage activation in the tumor microenvironment. Genome biology. 18(1). 234–234. 434 indexed citations breakdown →

5.

Kuang, Ruby, Arman Jahangiri, Alan Nguyen, et al.. (2017). GLUT3 upregulation promotes metabolic reprogramming associated with antiangiogenic therapy resistance. JCI Insight. 2(2). e88815–e88815. 52 indexed citations

6.

Kohanbash, Gary, Diego Carrera, Shruti Shrivastav, et al.. (2017). Isocitrate dehydrogenase mutations suppress STAT1 and CD8+ T cell accumulation in gliomas. Journal of Clinical Investigation. 127(4). 1425–1437. 309 indexed citations

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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