Robert Lehr

1.1k total citations
9 papers, 765 citations indexed

About

Robert Lehr is a scholar working on Hepatology, Statistics and Probability and Pathology and Forensic Medicine. According to data from OpenAlex, Robert Lehr has authored 9 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hepatology, 4 papers in Statistics and Probability and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Robert Lehr's work include Statistical Methods in Clinical Trials (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Hepatitis C virus research (3 papers). Robert Lehr is often cited by papers focused on Statistical Methods in Clinical Trials (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Hepatitis C virus research (3 papers). Robert Lehr collaborates with scholars based in United States, Greece and Japan. Robert Lehr's co-authors include Junji Furuse, Laura Ladrón de Guevara, Riccardo Lencioni, Lucy Dagher, Tadatoshi Takayama, Christos N. Papandreou, Seung Kew Yoon, Stephanie Heldner, Masatoshi Kudo and Keiko Nakajima and has published in prestigious journals such as Radiology, Journal of Hepatology and Statistics in Medicine.

In The Last Decade

Robert Lehr

8 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Lehr United States	6	535	268	203	114	105	9	765
A. Morabito Italy	8	708 1.3×	420 1.6×	141 0.7×	373 3.3×	154 1.5×	11	1.0k
María José Ortiz Spain	11	274 0.5×	241 0.9×	34 0.2×	287 2.5×	22 0.2×	28	802
Sylvia Hu United States	13	322 0.6×	302 1.1×	87 0.4×	33 0.3×	209 2.0×	26	1.1k
Nancy Oja-Tebbe United States	12	243 0.5×	268 1.0×	38 0.2×	57 0.5×	13 0.1×	19	672
Nathan Rubin United States	14	59 0.1×	175 0.7×	57 0.3×	91 0.8×	30 0.3×	60	583
C Glover United Kingdom	11	134 0.3×	60 0.2×	58 0.3×	84 0.7×	75 0.7×	13	665
Jinling Tang China	6	31 0.1×	37 0.1×	125 0.6×	98 0.9×	86 0.8×	11	623
Claire Faucher France	9	177 0.3×	164 0.6×	32 0.2×	92 0.8×	23 0.2×	13	415
Ioannis Vassiliou Greece	16	126 0.2×	75 0.3×	95 0.5×	767 6.7×	58 0.6×	44	1.1k
Annegret Franke Germany	18	111 0.2×	87 0.3×	68 0.3×	75 0.7×	12 0.1×	31	922

Countries citing papers authored by Robert Lehr

Since Specialization

Citations

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

Fields of papers citing papers by Robert Lehr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Lehr

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lehr. A scholar is included among the top collaborators of Robert Lehr 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 Robert Lehr. Robert Lehr 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.

Lehr, Robert. (2018). McNemar’s Test. 740–744. 1 indexed citations

2.

Marrero, Jorge A., Masatoshi Kudo, Alan P. Venook, et al.. (2016). Observational registry of sorafenib use in clinical practice across Child-Pugh subgroups: The GIDEON study. Journal of Hepatology. 65(6). 1140–1147. 264 indexed citations

3.

Kudo, Masatoshi, Riccardo Lencioni, Jorge A. Marrero, et al.. (2016). Regional differences in sorafenib‐treated patients with hepatocellular carcinoma: GIDEON observational study. Liver International. 36(8). 1196–1205. 36 indexed citations

4.

Geschwind, Jean-François H., Masatoshi Kudo, Jorge A. Marrero, et al.. (2016). TACE Treatment in Patients with Sorafenib-treated Unresectable Hepatocellular Carcinoma in Clinical Practice: Final Analysis of GIDEON. Radiology. 279(2). 630–640. 94 indexed citations

5.

Lencioni, Riccardo, Masatoshi Kudo, Sheng‐Long Ye, et al.. (2013). GIDEON (Global Investigation of therapeutic DE cisions in hepatocellular carcinoma and Of its treatment with sorafeNib): second interim analysis. International Journal of Clinical Practice. 68(5). 609–617. 180 indexed citations

6.

Lehr, Robert & Franciska K. Kashanian. (2009). Three Persistent Issues in Analysis of Clinical Trials Involving Diagnostic Contrast Agents. Drug Information Journal. 43(5). 525–532. 3 indexed citations

7.

Lehr, Robert. (2001). Some Practical Considerations and a Crude Formula for Estimating Sample Size for McNemar’s Test. Drug Information Journal. 35(4). 1227–1233. 5 indexed citations

8.

Lehr, Robert. (1992). Sixteen S‐squared over D‐squared: A relation for crude sample size estimates. Statistics in Medicine. 11(8). 1099–1102. 174 indexed citations

9.

Lehr, Robert. (1992). Sixteen S-squared over D-squared: a relation for crude sample size estimates.. Quality Engineering. 11(8). 1099–102. 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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