LM Nadler

959 total citations
10 papers, 793 citations indexed

About

LM Nadler is a scholar working on Immunology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, LM Nadler has authored 10 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in LM Nadler's work include Chronic Lymphocytic Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). LM Nadler is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Immunotherapy and Immune Responses (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). LM Nadler collaborates with scholars based in United States and Germany. LM Nadler's co-authors include JG Gribben, Donna Neuberg, AS Freedman, GJ Freeman, Jessica L. Moore, Michael Barber, K Pesek, Robert J. Soiffer, Paolo Corradini and Jerome Ritz and has published in prestigious journals such as Blood and PubMed.

In The Last Decade

LM Nadler

10 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
LM Nadler United States	10	390	362	288	233	226	10	793
K Blake United States	7	192 0.5×	501 1.4×	371 1.3×	267 1.1×	307 1.4×	10	853
Emilienne Kühlein France	16	267 0.7×	282 0.8×	236 0.8×	223 1.0×	278 1.2×	30	850
J Sklar United States	11	286 0.7×	526 1.5×	308 1.1×	366 1.6×	100 0.4×	13	933
Ming-Sheng Lee United States	8	242 0.6×	517 1.4×	445 1.5×	328 1.4×	308 1.4×	10	1.0k
Mauro Spriano Italy	18	215 0.6×	340 0.9×	230 0.8×	421 1.8×	211 0.9×	50	712
K Pesek United States	8	166 0.4×	495 1.4×	277 1.0×	393 1.7×	264 1.2×	8	711
PM Kluin Netherlands	9	214 0.5×	539 1.5×	355 1.2×	372 1.6×	209 0.9×	15	973
Kenkichi Kita Japan	18	434 1.1×	622 1.7×	559 1.9×	276 1.2×	325 1.4×	57	1.2k
Jose Iturraspe United States	12	227 0.6×	280 0.8×	128 0.4×	208 0.9×	164 0.7×	13	558
Therese White United States	11	171 0.4×	229 0.6×	195 0.7×	169 0.7×	98 0.4×	22	557

Countries citing papers authored by LM Nadler

Since Specialization

Citations

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

Fields of papers citing papers by LM Nadler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of LM Nadler

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

All Works

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10 of 10 papers shown

1.

Provan, Drew, Donna Neuberg, Paolo Corradini, et al.. (1996). Eradication of polymerase chain reaction-detectable chronic lymphocytic leukemia cells is associated with improved outcome after bone marrow transplantation. Blood. 88(6). 2228–2235. 156 indexed citations

2.

Gribben, JG, et al.. (1996). Complete blockade of B7 family-mediated costimulation is necessary to induce human alloantigen-specific anergy: a method to ameliorate graft- versus-host disease and extend the donor pool. Blood. 87(11). 4887–4893. 109 indexed citations

3.

Hiddemann, Wolfgang, DL Longo, Bertrand Coiffier, et al.. (1996). Lymphoma classification--the gap between biology and clinical management is closing. Blood. 88(11). 4085–4089. 103 indexed citations

4.

Matulonis, U., Chrysoula Dosiou, Christine Lamont, et al.. (1995). Role of B7-1 in mediating an immune response to myeloid leukemia cells. Blood. 85(9). 2507–2515. 108 indexed citations

5.

Munro, J M, AS Freedman, JG Gribben, et al.. (1994). In vivo expression of the B7 costimulatory molecule by subsets of antigen-presenting cells and the malignant cells of Hodgkin's disease. Blood. 83(3). 793–798. 88 indexed citations

6.

Nadler, LM, et al.. (1994). Immunotoxin therapy of lymphoid neoplasms.. PubMed. 31(1). 88–97. 13 indexed citations

7.

Gribben, JG, Donna Neuberg, Michael Barber, et al.. (1994). Detection of residual lymphoma cells by polymerase chain reaction in peripheral blood is significantly less predictive for relapse than detection in bone marrow. Blood. 83(12). 3800–3807. 147 indexed citations

8.

Nadler, LM, et al.. (1993). Monoclonal antibody therapy for indolent lymphomas.. PubMed. 20(5 Suppl 5). 118–35. 12 indexed citations

9.

Nadler, LM, et al.. (1992). Immunotoxin therapy of malignancy.. PubMed. 111–35. 16 indexed citations

10.

Anderson, KC, RJ Soiffer, Robert Delage, et al.. (1990). T-cell-depleted autologous bone marrow transplantation therapy: analysis of immune deficiency and late complications. Blood. 76(1). 235–244. 41 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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