L J Nell

493 total citations
26 papers, 422 citations indexed

About

L J Nell is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, L J Nell has authored 26 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in L J Nell's work include Diabetes and associated disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Pancreatic function and diabetes (7 papers). L J Nell is often cited by papers focused on Diabetes and associated disorders (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Pancreatic function and diabetes (7 papers). L J Nell collaborates with scholars based in United States. L J Nell's co-authors include James W. Thomas, Donald M. Marcus, Baiba K. Gillard, J. Andrew McCammon, Chrys Hulbert, G G Miller, John J. Tanner, John P. Comstock, Richard F. Arakaki and M S Pollack and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

L J Nell

26 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L J Nell United States 14 216 173 158 123 121 26 422
Terry F. Davies United States 9 125 0.6× 48 0.3× 169 1.1× 70 0.6× 139 1.1× 13 372
Sabine J. M. Willemen Netherlands 8 309 1.4× 177 1.0× 155 1.0× 83 0.7× 252 2.1× 9 509
Iria Gómez-Touriño Spain 10 252 1.2× 174 1.0× 127 0.8× 67 0.5× 290 2.4× 22 505
B. Z. Alizadeh Netherlands 10 176 0.8× 110 0.6× 108 0.7× 29 0.2× 129 1.1× 10 329
Angelica Olcott United States 7 166 0.8× 87 0.5× 59 0.4× 40 0.3× 337 2.8× 8 479
Timothy A. Wiles United States 10 535 2.5× 393 2.3× 313 2.0× 108 0.9× 308 2.5× 12 720
Victoria Troesch Switzerland 9 47 0.2× 68 0.4× 36 0.2× 74 0.6× 148 1.2× 9 347
Pamela Ghosh India 9 54 0.3× 61 0.4× 42 0.3× 69 0.6× 112 0.9× 13 325
Nathalie Campanile United States 8 249 1.2× 447 2.6× 69 0.4× 102 0.8× 36 0.3× 8 523
Gaurang Jhala Australia 9 132 0.6× 76 0.4× 55 0.3× 79 0.6× 168 1.4× 16 345

Countries citing papers authored by L J Nell

Since Specialization
Citations

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

Fields of papers citing papers by L J Nell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L J Nell. 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 L J Nell. The network helps show where L J Nell may publish in the future.

Co-authorship network of co-authors of L J Nell

This figure shows the co-authorship network connecting the top 25 collaborators of L J Nell. A scholar is included among the top collaborators of L J Nell 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 L J Nell. L J Nell 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.
Nell, L J, et al.. (1992). Anti‐insulin antibody structure and conformation. I. Molecular modeling and mechanics of an insulin antibody. Biopolymers. 32(1). 11–21. 10 indexed citations
2.
Tanner, John J., L J Nell, & J. Andrew McCammon. (1992). Anti‐insulin antibody structure and conformation. II. Molecular dynamics with explicit solvent. Biopolymers. 32(1). 23–32. 20 indexed citations
3.
Ellerhorst, Julie A., John P. Comstock, & L J Nell. (1990). Protamine Antibody Production in Diabetic Subjects Treated with NPH Insulin. The American Journal of the Medical Sciences. 299(5). 298–301. 12 indexed citations
4.
Karounos, Dennis G., L J Nell, & James W. Thomas. (1990). Auto Antibodies Present at Onset of Type I Diabetes Recognize Multiple Islet Cell Antigens. Autoimmunity. 6(1-2). 79–91. 11 indexed citations
5.
Nell, L J, et al.. (1990). VH and VL gene usage by murine IgG antibodies that bind autologous insulin.. The Journal of Immunology. 144(8). 3091–3098. 35 indexed citations
6.
Gillard, Baiba K., James W. Thomas, L J Nell, & Donald M. Marcus. (1989). Antibodies against ganglioside GT3 in the sera of patients with type I diabetes mellitus.. The Journal of Immunology. 142(11). 3826–3832. 66 indexed citations
7.
Thomas, James W., et al.. (1989). Genetic origin of human anti-insulin antibodies. Human Immunology. 26(4). 333–343. 2 indexed citations
8.
Nell, L J, Chrys Hulbert, Ridha Arem, et al.. (1989). Factors Affecting the Insulin Autoantibody Elisa. Autoimmunity. 2(4). 299–309. 8 indexed citations
9.
Nell, L J, Chrys Hulbert, & James W. Thomas. (1989). Human insulin autoantibody fine specificity and H and L chain use.. The Journal of Immunology. 142(9). 3063–3069. 23 indexed citations
10.
Thomas, James W., Margaret Beckwith, & L J Nell. (1988). Spectrotypic analysis of antibodies to insulin A and B chains. Molecular Immunology. 25(2). 173–179. 1 indexed citations
11.
Nell, L J & James W. Thomas. (1988). Frequency and Specificity of Protamine Antibodies in Diabetic and Control Subjects. Diabetes. 37(2). 172–176. 30 indexed citations
12.
Thomas, James W., et al.. (1987). Cell surface antigens on rat islet tumors.. The Journal of Immunology. 138(9). 2896–2901. 23 indexed citations
13.
Gardner, Donald F, et al.. (1986). The Pharmacokinetics of Subcutaneous Regular Insulin in Type I Diabetic Patients: Assessment Using a Glucose Clamp Technique*. The Journal of Clinical Endocrinology & Metabolism. 63(3). 689–694. 19 indexed citations
14.
Gardner, Donald F, Howard K. Wilson, Richard F. Arakaki, et al.. (1986). Prolonged Action of Regular Insulin in Diabetic Patients: Lack of Relationship to Circulating Insulin Antibodies*. The Journal of Clinical Endocrinology & Metabolism. 62(4). 621–627. 17 indexed citations
15.
Nell, L J, et al.. (1985). Application of a rapid enzyme-linked immunosorbent microassay (ELISA) to study human anti-insulin antibody. Diabetes. 34(1). 60–66. 9 indexed citations
16.
Nell, L J, et al.. (1985). Recognition of human insulin in vitro by T cells from subjects treated with animal insulins.. Journal of Clinical Investigation. 76(6). 2070–2077. 18 indexed citations
17.
Thomas, James W., et al.. (1985). Heterogeneity and specificity of human anti-insulin antibodies determined by isoelectric focusing.. The Journal of Immunology. 134(2). 1048–1052. 13 indexed citations
18.
Nell, L J & James W. Thomas. (1983). The human immune response to insulin. I. Kinetic and cellular aspects of lymphocyte proliferative responses in diabetics.. The Journal of Immunology. 131(2). 701–705. 14 indexed citations
19.
Nell, L J, Richard G. Cook, & Robert R. Rich. (1982). Qa-1-ASSOCIATED ANTIGENS. Transplantation. 34(1). 54–59. 4 indexed citations
20.
Meistrich, Marvin L., L J Nell, & Ellen R. Richie. (1981). Separation of AKR mouse thymus lymphoma from normal thymic cells by centrifugal elutriation. Journal of Immunological Methods. 41(3). 289–301. 6 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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