Gordian Hamerla

551 total citations
23 papers, 417 citations indexed

About

Gordian Hamerla is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Neurology. According to data from OpenAlex, Gordian Hamerla has authored 23 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Gordian Hamerla's work include Radiomics and Machine Learning in Medical Imaging (12 papers), MRI in cancer diagnosis (9 papers) and Meningioma and schwannoma management (6 papers). Gordian Hamerla is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), MRI in cancer diagnosis (9 papers) and Meningioma and schwannoma management (6 papers). Gordian Hamerla collaborates with scholars based in Germany, United States and Singapore. Gordian Hamerla's co-authors include Hans‐Jonas Meyer, Alexey Surov, Anne Kathrin Höhn, Stefan Schob, Karl‐Titus Hoffmann, Diana Horvath-Rizea, C. C. Tchoyoson Lim, Daniel Thomas Ginat, Eckhard Fiedler and Karsten Winter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine and Cancers.

In The Last Decade

Gordian Hamerla

23 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gordian Hamerla Germany	13	266	106	87	87	71	23	417
Yelda Elcim Türkiye	12	172 0.6×	66 0.6×	109 1.3×	77 0.9×	174 2.5×	17	472
Esin Gündem Türkiye	9	80 0.3×	64 0.6×	106 1.2×	67 0.8×	121 1.7×	14	351
C. Hashizume Japan	14	183 0.7×	102 1.0×	126 1.4×	52 0.6×	354 5.0×	35	587
Mohei Abouzied Saudi Arabia	10	170 0.6×	42 0.4×	35 0.4×	57 0.7×	115 1.6×	31	438
John Ondos United States	8	108 0.4×	39 0.4×	106 1.2×	108 1.2×	206 2.9×	10	392
Samantha Cipressi Italy	13	258 1.0×	65 0.6×	78 0.9×	41 0.5×	374 5.3×	26	600
Karoline Skogen Norway	9	488 1.8×	60 0.6×	152 1.7×	81 0.9×	149 2.1×	23	675
Takashi Norikane Japan	10	132 0.5×	51 0.5×	36 0.4×	28 0.3×	125 1.8×	79	333
Yoriko Kajiya Japan	11	259 1.0×	55 0.5×	22 0.3×	60 0.7×	84 1.2×	32	458
Thomas Weißmann Germany	13	210 0.8×	43 0.4×	100 1.1×	15 0.2×	143 2.0×	41	468

Countries citing papers authored by Gordian Hamerla

Since Specialization

Citations

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

Fields of papers citing papers by Gordian Hamerla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordian Hamerla

This figure shows the co-authorship network connecting the top 25 collaborators of Gordian Hamerla. A scholar is included among the top collaborators of Gordian Hamerla 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 Gordian Hamerla. Gordian Hamerla 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:

20 of 20 papers shown

Meyer, Hans‐Jonas, Gordian Hamerla, Anne-Kathrin Höhn, Karl‐Titus Hoffmann, & Alexey Surov. (2021). Perifocal edema volume is not associated with immunohistochemical features reflecting proliferation potential, microvessel density, neoangiogenesis and invasiveness in brain metastasis. Clinical Neurology and Neurosurgery. 202. 106537–106537. 3 indexed citations

Hamerla, Gordian, et al.. (2021). Early prophylactic anticoagulation after subarachnoid hemorrhage decreases systemic ischemia and improves outcome. Clinical Neurology and Neurosurgery. 207. 106809–106809. 9 indexed citations

Frydrychowicz, Clara, et al.. (2021). On the Prognosis of Multifocal Glioblastoma: An Evaluation Incorporating Volumetric MRI. Current Oncology. 28(2). 1437–1446. 6 indexed citations

Quäschling, Ulf, Cindy Richter, Gordian Hamerla, et al.. (2020). Flow diversion in challenging vascular anatomies: the use of low profile stent retrievers for safe and accurate positioning of the microcatheter. SHILAP Revista de lepidopterología. 3(1). 19–19. 11 indexed citations

Hamerla, Gordian, et al.. (2020). Persistent hyperprolactinemia, transient hypopituitarism, and transient contralateral third nerve palsy after endovascular treatment of an internal carotid artery aneurysm: Case report and review of the literature. SHILAP Revista de lepidopterología. 8. 2050313X20948714–2050313X20948714. 3 indexed citations

Schob, Stefan, Cindy Richter, Cordula Scherlach, et al.. (2019). Delayed Stroke after Aneurysm Treatment with Flow Diverters in Small Cerebral Vessels: A Potentially Critical Complication Caused by Subacute Vasospasm. Journal of Clinical Medicine. 8(10). 1649–1649. 15 indexed citations

Meyer, Hans‐Jonas, et al.. (2019). Associations between Histogram Analysis Parameters Derived from DCE-MRI and Histopathological Features including Expression of EGFR, p16, VEGF, Hif1-alpha, and p53 in HNSCC. Contrast Media & Molecular Imaging. 2019. 1–10. 30 indexed citations

Hamerla, Gordian, Hans‐Jonas Meyer, Stefan Schob, et al.. (2019). Comparison of machine learning classifiers for differentiation of grade 1 from higher gradings in meningioma: A multicenter radiomics study. Magnetic Resonance Imaging. 63. 244–249. 75 indexed citations

Meyer, Hans‐Jonas, et al.. (2019). CT Texture Analysis—Correlations With Histopathology Parameters in Head and Neck Squamous Cell Carcinomas. Frontiers in Oncology. 9. 444–444. 15 indexed citations

10.

Meyer, Hans‐Jonas, et al.. (2019). Histogram analysis parameters derived from DCE-MRI in head and neck squamous cell cancer – Associations with microvessel density. European Journal of Radiology. 120. 108669–108669. 13 indexed citations

11.

Meyer, Hans‐Jonas, Anne Kathrin Höhn, Gordian Hamerla, et al.. (2019). Texture analysis parameters derived from T1-and T2-weighted magnetic resonance images can reflect Ki67 index in soft tissue sarcoma. Surgical Oncology. 30. 92–97. 16 indexed citations

12.

Meyer, Hans‐Jonas, et al.. (2019). Whole-lesion ADC histogram analysis is not able to reflect microvessel density in HNSCC. Medicine. 98(21). e15520–e15520. 4 indexed citations

13.

Meyer, Hans‐Jonas, et al.. (2018). ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1α, Her 2 and p53. A preliminary study. Magnetic Resonance Imaging. 54. 214–217. 47 indexed citations

14.

Meyer, Hans‐Jonas, Gordian Hamerla, Anne Kathrin Höhn, & Alexey Surov. (2018). Whole Lesion Histogram Analysis Derived From Morphological MRI Sequences Might be Able to Predict EGFR- and Her2-Expression in Cervical Cancer. Academic Radiology. 26(8). e208–e215. 13 indexed citations

15.

Ullrich, Sebastian, et al.. (2018). Extramedulläres Plasmozytom. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 190(11). 1006–1009. 3 indexed citations

16.

Surov, Alexey, Daniel Thomas Ginat, C. C. Tchoyoson Lim, et al.. (2018). Histogram Analysis Parameters Apparent Diffusion Coefficient for Distinguishing High and Low-Grade Meningiomas: A Multicenter Study. Translational Oncology. 11(5). 1074–1079. 24 indexed citations

17.

Meyer, Hans‐Jonas, Anne Kathrin Höhn, Gordian Hamerla, & Alexey Surov. (2018). Histogram parameters derived from T2 weighted images are associated with histopathological findings in rectal cancer - a preliminary study.. PubMed. 10(11). 3790–3796. 6 indexed citations

18.

Meyer, Hans‐Jonas, et al.. (2018). Associations between whole tumor histogram analysis parameters derived from ADC maps and expression of EGFR, VEGF, Hif 1-alpha, Her-2 and Histone 3 in uterine cervical cancer. Magnetic Resonance Imaging. 57. 68–74. 23 indexed citations

19.

Surov, Alexey, Gordian Hamerla, Hans‐Jonas Meyer, et al.. (2018). Whole lesion histogram analysis of meningiomas derived from ADC values. Correlation with several cellularity parameters, proliferation index KI 67, nucleic content, and membrane permeability. Magnetic Resonance Imaging. 51. 158–162. 39 indexed citations

20.

Meyer, Hans‐Jonas, et al.. (2018). Histogram Analysis Parameters Derived from Conventional T1- and T2-Weighted Images Can Predict Different Histopathological Features Including Expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and Cell Count in Head and Neck Squamous Cell Carcinoma. Molecular Imaging and Biology. 21(4). 740–746. 22 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.

Explore authors with similar magnitude of impact