Richard Libes

410 total citations
9 papers, 285 citations indexed

About

Richard Libes is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Richard Libes has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Richard Libes's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and MRI in cancer diagnosis (2 papers). Richard Libes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and MRI in cancer diagnosis (2 papers). Richard Libes collaborates with scholars based in United States. Richard Libes's co-authors include Neil M. Rofsky, J C Weinreb, M A Bosniak, Bernard A. Birnbaum, HUSSEIN M. ABDEL-DAYEM, Henry C. Lin, Gerald Rosen, Aubrey C. Galloway, Eugene A. Grossi and Sherif Heiba and has published in prestigious journals such as Radiology, Journal of Medicinal Chemistry and American Journal of Roentgenology.

In The Last Decade

Richard Libes

9 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Libes United States	6	185	126	50	37	27	9	285
Piergiorgio Nardis Italy	7	169 0.9×	131 1.0×	93 1.9×	11 0.3×	63 2.3×	19	289
Sylvie Chillon France	9	88 0.5×	125 1.0×	54 1.1×	91 2.5×	25 0.9×	16	278
Stefano Mancino Italy	9	214 1.2×	320 2.5×	41 0.8×	30 0.8×	18 0.7×	12	406
T. Pfammatter Switzerland	8	130 0.7×	157 1.2×	178 3.6×	16 0.4×	9 0.3×	16	413
Susanne Tewes Germany	9	197 1.1×	248 2.0×	54 1.1×	7 0.2×	14 0.5×	10	395
Michael Dworkin United Kingdom	9	98 0.5×	104 0.8×	127 2.5×	32 0.9×	12 0.4×	13	324
Massimiliano Missere Italy	9	48 0.3×	75 0.6×	52 1.0×	87 2.4×	18 0.7×	28	521
Martin Rosenberg United States	7	161 0.9×	187 1.5×	23 0.5×	11 0.3×	11 0.4×	9	326
Ashley Knight‐Greenfield United States	8	193 1.0×	159 1.3×	37 0.7×	103 2.8×	7 0.3×	12	466
M Reiser Germany	9	73 0.4×	164 1.3×	87 1.7×	5 0.1×	17 0.6×	16	304

Countries citing papers authored by Richard Libes

Since Specialization

Citations

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

Fields of papers citing papers by Richard Libes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Libes

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

All Works

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9 of 9 papers shown

1.

Manna, Sayan, Samuel Z. Maron, Mario A. Cedillo, et al.. (2020). Spontaneous subcutaneous emphysema and pneumomediastinum in non-intubated patients with COVID-19. Clinical Imaging. 67. 207–213. 43 indexed citations

2.

Rivera‐Rivera, Leonardo A., et al.. (2010). Role of F-18-FDG PET/CT in follow-up of patients with treated leiomyosarcoma. 51. 513–513. 3 indexed citations

3.

Libes, Richard, et al.. (2009). Impact of PET and CT in PET/CT Studies for Staging and Evaluating Treatment Response in Bone and Soft Tissue Sarcomas. Clinical Nuclear Medicine. 34(3). 146–150. 45 indexed citations

4.

Lin, Henry C., et al.. (2008). Incremental value of FDG PET/CT in initial staging of patients (pts) with bone and soft tissue sarcoma (BSTS). 49. 2 indexed citations

5.

Libes, Richard, et al.. (2007). Impact of PET/CT in Comparison With Same Day Contrast Enhanced CT in Breast Cancer Management. Clinical Nuclear Medicine. 32(6). 429–434. 33 indexed citations

6.

Choy, Daniel S.J., et al.. (2007). Axial Compression Frame for MRI of Thoracolumbar Spine. American Journal of Roentgenology. 189(5). 1175–1178. 1 indexed citations

7.

Rofsky, Neil M., Jeffrey C. Weinreb, Eugene A. Grossi, et al.. (1993). Aortic aneurysm and dissection: normal MR imaging and CT findings after surgical repair with the continuous-suture graft-inclusion technique.. Radiology. 186(1). 195–201. 28 indexed citations

8.

Rofsky, Neil M., J C Weinreb, M A Bosniak, Richard Libes, & Bernard A. Birnbaum. (1991). Renal lesion characterization with gadolinium-enhanced MR imaging: efficacy and safety in patients with renal insufficiency.. Radiology. 180(1). 85–89. 122 indexed citations

9.

Schuster, David I., et al.. (1982). Synthesis and dopamine receptor binding of exo- and endo-2-amino-6,7-dihydroxybenzonorbornene, rigid analogs of 2-amino-6,7-dihydroxytetrahydronaphthalene. Journal of Medicinal Chemistry. 25(7). 850–854. 8 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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