Jack Lawson

2.1k total citations · 1 hit paper
56 papers, 1.4k citations indexed

About

Jack Lawson is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jack Lawson has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Molecular Biology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jack Lawson's work include Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (13 papers) and Bone fractures and treatments (6 papers). Jack Lawson is often cited by papers focused on Diabetes Treatment and Management (14 papers), Metabolism, Diabetes, and Cancer (13 papers) and Bone fractures and treatments (6 papers). Jack Lawson collaborates with scholars based in United States, Denmark and United Kingdom. Jack Lawson's co-authors include Enzo J. Sella, John A. Ogden, Joseph McGuire, Allen C. Steere, Kenneth W. Barwick, Augustus A. White, Stephen D. Walter, Jack Farman, Manohar M. Panjabi and Katherine R. Tuttle and has published in prestigious journals such as New England Journal of Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Jack Lawson

55 papers receiving 1.4k citations

Hit Papers

The rationale, design and baseline data of FLOW, a kidney... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Lawson United States 20 565 388 327 238 235 56 1.4k
Amit Agarwal United States 19 460 0.8× 60 0.2× 90 0.3× 209 0.9× 122 0.5× 162 1.4k
Mahesh Prakash India 16 485 0.9× 123 0.3× 160 0.5× 99 0.4× 66 0.3× 111 977
Mimi Kim South Korea 24 412 0.7× 165 0.4× 117 0.4× 1.1k 4.4× 260 1.1× 117 2.2k
Johannes J.M.L. Hoffmann Netherlands 20 493 0.9× 66 0.2× 173 0.5× 275 1.2× 105 0.4× 80 2.0k
Bruno Pinamonti Italy 34 774 1.4× 79 0.2× 407 1.2× 512 2.2× 524 2.2× 135 4.7k
Masamitsu Kido Japan 21 198 0.4× 191 0.5× 358 1.1× 123 0.5× 118 0.5× 131 1.5k
Kyung‐Sook Yang South Korea 25 557 1.0× 113 0.3× 63 0.2× 234 1.0× 124 0.5× 98 1.6k
Nevzat Karabulut Türkiye 25 766 1.4× 28 0.1× 157 0.5× 247 1.0× 86 0.4× 110 1.9k
Zülkif Bozgeyik Türkiye 17 213 0.4× 58 0.1× 108 0.3× 63 0.3× 36 0.2× 43 780
Mario Maas Netherlands 23 817 1.4× 60 0.2× 629 1.9× 276 1.2× 97 0.4× 78 1.8k

Countries citing papers authored by Jack Lawson

Since Specialization
Citations

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

Fields of papers citing papers by Jack Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Lawson

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

All Works

20 of 20 papers shown
1.
Jamieson, Andrew R., et al.. (2024). Rubrics to Prompts: Assessing Medical Student Post-Encounter Notes with AI. NEJM AI. 1(12). 12 indexed citations
2.
Heerspink, Hiddo J.L., Melanie J. Davies, Dror Dicker, et al.. (2023). Effects of Semaglutide on Albuminuria and Kidney Function in People With Overweight or Obesity With or Without Type 2 Diabetes: Exploratory Analysis From the STEP 1, 2, and 3 Trials. Diabetes Care. 46(4). 801–810. 63 indexed citations
3.
Tuttle, Katherine R., Heidrun Bosch‐Traberg, David Z.I. Cherney, et al.. (2023). Post hoc analysis of SUSTAIN 6 and PIONEER 6 trials suggests that people with type 2 diabetes at high cardiovascular risk treated with semaglutide experience more stable kidney function compared with placebo. Kidney International. 103(4). 772–781. 65 indexed citations
4.
Rossing, Peter, Florian M.M. Baeres, George L. Bakris, et al.. (2023). The rationale, design and baseline data of FLOW, a kidney outcomes trial with once-weekly semaglutide in people with type 2 diabetes and chronic kidney disease. Nephrology Dialysis Transplantation. 38(9). 2041–2051. 147 indexed citations breakdown →
6.
Lingvay, Ildiko, Andrei‐Mircea Catarig, Jack Lawson, et al.. (2022). An Indirect Comparison of Basal Insulin Plus Once-Weekly Semaglutide and Fully Optimised Basal–Bolus Insulin in Type 2 Diabetes. Diabetes Therapy. 14(1). 123–137. 1 indexed citations
7.
Cherney, David Z.I., Samy Hadjadj, Jack Lawson, et al.. (2022). Hemoglobin A1c Reduction With the GLP-1 Receptor Agonist Semaglutide Is Independent of Baseline eGFR: post hoc Analysis of the SUSTAIN and PIONEER Programs. Kidney International Reports. 7(11). 2345–2355. 12 indexed citations
8.
Pratley, Richard E., Andrei‐Mircea Catarig, Ildiko Lingvay, et al.. (2021). An indirect treatment comparison of the efficacy of semaglutide 1.0 mg versus dulaglutide 3.0 and 4.5 mg. Diabetes Obesity and Metabolism. 23(11). 2513–2520. 17 indexed citations
9.
Lawson, Jack. (2002). Drug-Induced Metabolic Bone Disorders. Seminars in Musculoskeletal Radiology. 6(4). 285–298. 9 indexed citations
10.
Gagliardi, Joseph A., et al.. (1999). Digital enlargement in tuberous sclerosis. Skeletal Radiology. 28(2). 116–118. 2 indexed citations
11.
Lawson, Jack. (1994). International Skeletal Society Lecture in honor of Howard D. Dorfman. Clinically significant radiologic anatomic variants of the skeleton.. American Journal of Roentgenology. 163(2). 249–255. 61 indexed citations
12.
Lawson, Jack, Marc S. Keller, & Zachary Rattner. (1994). RECENT ADVANCES IN PEDIATRIC MUSCULOSKELETAL IMAGING. Radiologic Clinics of North America. 32(2). 353–375. 11 indexed citations
13.
Lawson, Jack & Daniel W. Rahn. (1992). Lyme disease and radiologic findings in Lyme arthritis.. American Journal of Roentgenology. 158(5). 1065–1069. 5 indexed citations
14.
Lawson, Jack, et al.. (1991). Case report 701. Skeletal Radiology. 20(8). 617–619. 5 indexed citations
15.
Zawin, Marlene, Lee D. Katz, & Jack Lawson. (1988). Case report 500. Skeletal Radiology. 17(6). 450–453. 3 indexed citations
16.
McGuire, Joseph & Jack Lawson. (1987). Skeletal Changes Associated with Chronic Isotretinoin and Etretinate Administration. Dermatology. 175(Suppl. 1). 169–181. 37 indexed citations
17.
Beneventano, Thomas C., David G. Bragg, Fred J. Hodges, et al.. (1984). Film Interpretation Session. Radiology. 153(1). 1–16. 1 indexed citations
18.
Lawson, Jack & Kenneth W. Barwick. (1982). Case report 209. Skeletal Radiology. 9(1). 53–55. 7 indexed citations
19.
Lawson, Jack & Kenneth W. Barwick. (1981). Case report 162. Skeletal Radiology. 7(1). 63–65. 9 indexed citations
20.
Lawson, Jack. (1963). Pleural calcification as a sign of asbestosis. Clinical Radiology. 14(4). 414–417. 16 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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