Lawrence Hall

569 total citations
7 papers, 228 citations indexed

About

Lawrence Hall is a scholar working on Oncology, Dermatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lawrence Hall has authored 7 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Dermatology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lawrence Hall's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Lawrence Hall is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and AI in cancer detection (2 papers). Lawrence Hall collaborates with scholars based in United States, Czechia and United Kingdom. Lawrence Hall's co-authors include Rahul Paul, Robert J. Gillies, Matthew B. Schabath, Samuel Hawkins, Dmitry Goldgof, Yoganand Balagurunathan, Warren R. Heymann, Michal Sněhota, M. H. G. Amin and Milena Cı́slerová and has published in prestigious journals such as Journal of the American Academy of Dermatology, Vadose Zone Journal and Journal of Cutaneous Pathology.

In The Last Decade

Lawrence Hall

7 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lawrence Hall United States	5	110	58	49	37	31	7	228
Meng‐Yun Qiang China	11	121 1.1×	47 0.8×	81 1.7×	73 2.0×	14 0.5×	25	357
Haoyu Zhong China	9	124 1.1×	32 0.6×	126 2.6×	32 0.9×	34 1.1×	15	350
Ahmed W. Moawad United States	11	95 0.9×	29 0.5×	67 1.4×	36 1.0×	38 1.2×	24	299
Yongheng Luo China	10	147 1.3×	43 0.7×	55 1.1×	23 0.6×	62 2.0×	28	364
Weizhen Wang China	11	55 0.5×	13 0.2×	27 0.6×	19 0.5×	21 0.7×	34	265
Minghao Li China	12	92 0.8×	34 0.6×	102 2.1×	80 2.2×	24 0.8×	40	353
Arjun B. Sood United States	10	193 1.8×	81 1.4×	37 0.8×	95 2.6×	14 0.5×	15	464
Tiange Chen China	11	18 0.2×	30 0.5×	49 1.0×	33 0.9×	16 0.5×	48	389
Christoph Bernau Germany	12	34 0.3×	38 0.7×	111 2.3×	21 0.6×	25 0.8×	22	482
Linhan Zhang China	9	78 0.7×	22 0.4×	47 1.0×	24 0.6×	24 0.8×	21	300

Countries citing papers authored by Lawrence Hall

Since Specialization

Citations

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

Fields of papers citing papers by Lawrence Hall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lawrence Hall

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

7 of 7 papers shown

1.

Paul, Rahul, Dmitry Cherezov, Matthew B. Schabath, et al.. (2019). Towards deep radiomics: nodule malignancy prediction using CNNs on feature images. 67. 143–143. 3 indexed citations

2.

Paul, Rahul, Samuel Hawkins, Yoganand Balagurunathan, et al.. (2016). Deep Feature Transfer Learning in Combination with Traditional Features Predicts Survival among Patients with Lung Adenocarcinoma. Tomography. 2(4). 388–395. 133 indexed citations

3.

Elston, Dirk M., et al.. (2015). A recurrent melanocytic nevus phenomenon in the setting of Hailey–Hailey disease. Journal of Cutaneous Pathology. 42(8). 574–577. 1 indexed citations

4.

Bernardo, Sebastian, Марина Москаленко, Michael Pan, et al.. (2014). Defining the role of CD2 in disease progression and overall survival among patients with completely resected stage-II to -III cutaneous melanoma. Journal of the American Academy of Dermatology. 70(6). 1036–1044.e3. 15 indexed citations

5.

Hall, Lawrence, et al.. (2014). Epstein–Barr virus: Dermatologic associations and implications. Journal of the American Academy of Dermatology. 72(1). 21–34. 40 indexed citations

6.

Hall, Lawrence, et al.. (2013). Re-examination of Features to Distinguish Polyarteritis Nodosa From Superficial Thrombophlebitis. American Journal of Dermatopathology. 35(4). 463–471. 4 indexed citations

7.

Sněhota, Michal, Milena Cı́slerová, M. H. G. Amin, & Lawrence Hall. (2010). Tracing the Entrapped Air in Heterogeneous Soil by Means of Magnetic Resonance Imaging. Vadose Zone Journal. 9(2). 373–384. 32 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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