J. D. Broome

2.7k total citations · 1 hit paper
47 papers, 2.2k citations indexed

About

J. D. Broome is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, J. D. Broome has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Immunology. Recurrent topics in J. D. Broome's work include Acute Lymphoblastic Leukemia research (10 papers), Retinoids in leukemia and cellular processes (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). J. D. Broome is often cited by papers focused on Acute Lymphoblastic Leukemia research (10 papers), Retinoids in leukemia and cellular processes (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). J. D. Broome collaborates with scholars based in United States, United Kingdom and Canada. J. D. Broome's co-authors include James H. Schwartz, Frederick F. Becker, R. K. Archer, Siamak Tabibzadeh, Eric Gaetjens, Prasad Koduru, Yong Ding, Donald A. Risucci, Helen Vlassara and Ona Bloom and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

J. D. Broome

47 papers receiving 1.9k citations

Hit Papers

Evidence that the L-Asparaginase Activity of Guinea Pig S... 1961 2026 1982 2004 1961 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Broome United States 22 954 831 292 270 259 47 2.2k
J. Arly Nelson United States 27 1.2k 1.2× 224 0.3× 55 0.2× 259 1.0× 249 1.0× 69 2.3k
Harutoshi Kizaki Japan 28 1.7k 1.8× 339 0.4× 83 0.3× 55 0.2× 423 1.6× 89 2.6k
Heinz W. Kunz United States 30 1.2k 1.2× 234 0.3× 57 0.2× 183 0.7× 1.1k 4.3× 198 3.2k
Judith K. Christman United States 28 2.7k 2.8× 116 0.1× 235 0.8× 119 0.4× 351 1.4× 64 3.7k
Raymond W. Ruddon United States 34 1.8k 1.9× 388 0.5× 31 0.1× 136 0.5× 419 1.6× 100 3.2k
Gary B. Henderson United States 26 841 0.9× 394 0.5× 779 2.7× 131 0.5× 68 0.3× 67 1.8k
J L Pace United States 26 797 0.8× 344 0.4× 56 0.2× 103 0.4× 1.9k 7.3× 55 3.2k
José Uriel France 23 959 1.0× 79 0.1× 55 0.2× 136 0.5× 205 0.8× 65 2.0k
Ruth Marshall United Kingdom 22 1.1k 1.1× 107 0.1× 64 0.2× 127 0.5× 178 0.7× 80 1.9k
Berend Tolner United Kingdom 26 953 1.0× 113 0.1× 335 1.1× 75 0.3× 110 0.4× 50 1.8k

Countries citing papers authored by J. D. Broome

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Broome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Broome

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Broome. A scholar is included among the top collaborators of J. D. Broome 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 J. D. Broome. J. D. Broome 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.
Ding, Yong, et al.. (2005). Epigenetic changes in the repression and induction of asparagine synthetase in human leukemic cell lines. Leukemia. 19(3). 420–426. 23 indexed citations
3.
Shen, Na, Lingmei Qian, Prasad Koduru, et al.. (2001). Hypermethylation of CpG islands in the mouse asparagine synthetase gene: relationship to asparaginase sensitivity in lymphoma cells. Partial methylation in normal cells. British Journal of Cancer. 85(6). 930–935. 21 indexed citations
4.
Qian, Lingmei, et al.. (1999). Cyclin D2 promoter disrupted by t(12;22)(p13;q11.2) during transformation of chronic lymphocytic leukaemia to non‐Hodgkin's lymphoma. British Journal of Haematology. 106(2). 477–485. 21 indexed citations
5.
Tabibzadeh, Siamak, et al.. (1999). From Endometrial Receptivity to Infertility. Seminars in Reproductive Medicine. 17(3). 197–203. 13 indexed citations
6.
Zimmerman, Gary A., Malcolm E. Meistrell, Ona Bloom, et al.. (1995). Neurotoxicity of advanced glycation endproducts during focal stroke and neuroprotective effects of aminoguanidine.. Proceedings of the National Academy of Sciences. 92(9). 3744–3748. 91 indexed citations
7.
Koduru, Prasad, Stuart M. Lichtman, Tsieh Sun, et al.. (1993). Serial phenotypic, cytogenetic and molecular genetic studies in Richter's syndrome: demonstration of lymphoma development from the chronic lymphocytic leukaemia cells. British Journal of Haematology. 85(3). 613–616. 28 indexed citations
8.
Koduru, Prasad, et al.. (1993). Phenotypic and genotypic characterization of Hodgkin's disease. American Journal of Hematology. 44(2). 117–124. 12 indexed citations
9.
Gaetjens, Eric, et al.. (1987). Mercaptoethanol protects glutathione depleted cells. Inflammation Research. 22(1-2). 171–175. 2 indexed citations
10.
11.
Broome, J. D. & H. N. Jayaram. (1975). Studies of the Mechanism of Growth Promotion of Lymphoma Cells by 2-Mercaptoethanol in vitro. PubMed. Suppl 6. 41–45. 5 indexed citations
12.
Broome, J. D., et al.. (1973). PROMOTION OF REPLICATION IN LYMPHOID CELLS BY SPECIFIC THIOLS AND DISULFIDES IN VITRO. The Journal of Experimental Medicine. 138(3). 574–592. 200 indexed citations
13.
Broome, J. D.. (1968). STUDIES ON THE MECHANISM OF TUMOR INHIBITION BY L-ASPARAGINASE. The Journal of Experimental Medicine. 127(6). 1055–1072. 175 indexed citations
14.
Broome, J. D. & John G. Kidd. (1964). THE ANTICOAGULANT AND ANTILYMPHOMA PROPERTIES OF ARSENIC AZOPROTEINS. The Journal of Experimental Medicine. 120(3). 467–490. 8 indexed citations
15.
Broome, J. D. & John G. Kidd. (1964). THE ANTICOAGULANT AND ANTILYMPHOMA PROPERTIES OF ARSENIC AZOPROTEINS. The Journal of Experimental Medicine. 120(3). 449–466. 5 indexed citations
16.
Broome, J. D.. (1964). EFFECTS OF ACIDIC AZOPROTEINS ON PLASMA TRIGLYCERIDE LEVELS AND ON THE HEPARIN-ACTIVATED CLEARING SYSTEM. The Journal of Experimental Medicine. 119(1). 83–104. 1 indexed citations
17.
Broome, J. D.. (1963). EVIDENCE THAT THE L-ASPARAGINASE OF GUINEA PIG SERUM IS RESPONSIBLE FOR ITS ANTILYMPHOMA EFFECTS. The Journal of Experimental Medicine. 118(1). 99–120. 287 indexed citations
18.
Broome, J. D.. (1963). EVIDENCE THAT THE L-ASPARAGINASE OF GUINEA PIG SERUM IS RESPONSIBLE FOR ITS ANTILYMPHOMA EFFECTS. The Journal of Experimental Medicine. 118(1). 121–148. 133 indexed citations
19.
Archer, R. K. & J. D. Broome. (1963). Studies on the Peroxidase Reaction of Living Eosinophils and Other Leucocytes. Acta Haematologica. 29(3). 147–156. 14 indexed citations
20.
Broome, J. D.. (1961). Evidence that the L-Asparaginase Activity of Guinea Pig Serum is responsible for its Antilymphoma Effects. Nature. 191(4793). 1114–1115. 376 indexed citations breakdown →

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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