Fernando Hakim

33 papers receiving 362 citations

Peers

Fernando Hakim
Comparison fields: 5 of 46
  • Genetics 94
  • Endocrinology, Diabetes and Metabolism 117
  • Neurology 44
  • Microbiology 2
  • Cellular and Molecular Neuroscience 22
Replace Iris Zachenhofer with:
Iris Zachenhofer Austria
Edgar G. Ordóñez-Rubiano Colombia
Eser Sanverdi Türkiye
In‐Ho Jung South Korea
K. Koç Türkiye
Sevgi Sarikaya-Seiwert Germany
Mark A. Mittler United States
Sae Min Kwon South Korea
Jaskaran Singh Gosal India
B Önol Türkiye
Fernando Hakim relative to Iris Zachenhofer Austria Iris Zachenhofer's profile →
Citations per field
00.5×2×4×6×8.4×
Iris Zachenhofer · 1×
Citations per year

Countries citing papers authored by Fernando Hakim

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Hakim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993124
2
Early decompressive craniectomy for neurotrauma: an institutional experience.
200936
3 202136
4 201731
5 201922
6 199716
7 202313
8 202413
9 202310
10 20198
11 20237
12 20166
13 20236
14 20215
15 20255
16 20234
17 20133
18 20193
19 20203
20 20213

About Fernando Hakim

Fernando Hakim is a scholar working on Genetics, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Microbiology, having authored 42 papers that have together received 377 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Cerebrospinal fluid and hydrocephalus (9 papers), Meningioma and schwannoma management (3 papers), Augmented Reality Applications (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers), Pain Management and Treatment (1 paper), Clinical practice guidelines implementation (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Genetics (94 citations), Endocrinology, Diabetes and Metabolism (117 citations), Neurology (44 citations), Microbiology (2 citations) and Cellular and Molecular Neuroscience (22 citations). Fernando Hakim has collaborated with scholars based in Colombia, United States and Mexico. Frequent co-authors include Nicholas T. Zervas, E. Tessa Hedley‐Whyte, Suzanne M. de la Monte, Anne Klibanski, Beverly M. K. Biller, Dora W. Hsu, Juan Carlos Puyana, Andrés M. Rubiano, Edgar G. Ordóñez-Rubiano and Sabino Luzzi. Their work appears in journals such as Journal of Neuro-Oncology, Neurosurgery, Clinical & Translational Oncology, Child s Nervous System and Journal of neurosurgery.

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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