D L Kaufman

1.9k total citations
7 papers, 1.5k citations indexed

About

D L Kaufman is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, D L Kaufman has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in D L Kaufman's work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Tryptophan and brain disorders (2 papers). D L Kaufman is often cited by papers focused on Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (4 papers) and Tryptophan and brain disorders (2 papers). D L Kaufman collaborates with scholars based in United States. D L Kaufman's co-authors include Mark A. Atkinson, Noel K. Maclaren, Mark G. Erlander, Allan J. Tobin, Michael Clare‐Salzler, Allan J. Tobin, Iain L. Campbell, Mark A. Bowman, Caryn Wagner-McPherson and Niranjala J.K. Tillakaratne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

D L Kaufman

7 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D L Kaufman United States	7	852	553	445	339	328	7	1.5k
T. Serikawa Japan	23	791 0.9×	158 0.3×	312 0.7×	397 1.2×	73 0.2×	62	2.0k
Han S. Lee United States	22	288 0.3×	71 0.1×	163 0.4×	320 0.9×	84 0.3×	32	1.5k
Lilian Wikström Sweden	13	183 0.2×	166 0.3×	565 1.3×	322 0.9×	88 0.3×	24	1.5k
Talitha van der Meulen United States	18	737 0.9×	1.1k 1.9×	642 1.4×	43 0.1×	167 0.5×	27	1.7k
D.A. Leong United States	24	178 0.2×	105 0.2×	597 1.3×	368 1.1×	83 0.3×	36	1.6k
Ivy Aneas United States	20	328 0.4×	136 0.2×	127 0.3×	83 0.2×	75 0.2×	27	1.5k
Yuanpei Xin United States	16	161 0.2×	200 0.4×	135 0.3×	307 0.9×	42 0.1×	27	910
Weidong Wang United States	16	151 0.2×	224 0.4×	75 0.2×	183 0.5×	120 0.4×	49	1.3k
Kathy E. O’Neill United States	15	322 0.4×	73 0.1×	76 0.2×	92 0.3×	142 0.4×	22	1.5k
Heiner Westphal United States	11	250 0.3×	233 0.4×	134 0.3×	164 0.5×	52 0.2×	13	1.2k

Countries citing papers authored by D L Kaufman

Since Specialization

Citations

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

Fields of papers citing papers by D L Kaufman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D L Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of D L Kaufman. A scholar is included among the top collaborators of D L Kaufman 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 D L Kaufman. D L Kaufman 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.

Atkinson, Mark A., et al.. (1994). Cellular immunity to a determinant common to glutamate decarboxylase and coxsackie virus in insulin-dependent diabetes.. Journal of Clinical Investigation. 94(5). 2125–2129. 353 indexed citations

2.

Kaufman, D L, Michael Clare‐Salzler, Jide Tian, et al.. (1994). Spontaneous loss of T-cell tolerance to glutamic acid decarboxylase in murine insulin-dependent diabetes. Journal of Endocrinological Investigation. 17(7). 585–585. 42 indexed citations

3.

Atkinson, Mark A., D L Kaufman, Diane K. Newman, Allan J. Tobin, & Noel K. Maclaren. (1993). Islet cell cytoplasmic autoantibody reactivity to glutamate decarboxylase in insulin-dependent diabetes.. Journal of Clinical Investigation. 91(1). 350–356. 98 indexed citations

4.

Kaufman, D L, Mark G. Erlander, Michael Clare‐Salzler, et al.. (1992). Autoimmunity to two forms of glutamate decarboxylase in insulin-dependent diabetes mellitus.. Journal of Clinical Investigation. 89(1). 283–292. 349 indexed citations

5.

Bu, Ding-fang, Mark G. Erlander, Niranjala J.K. Tillakaratne, et al.. (1992). Two human glutamate decarboxylases, 65-kDa GAD and 67-kDa GAD, are each encoded by a single gene.. Proceedings of the National Academy of Sciences. 89(6). 2115–2119. 390 indexed citations

6.

Gonzales, Cathleen, D L Kaufman, Allan J. Tobin, & Marie‐Françoise Chesselet. (1991). Distribution of glutamic acid decarboxylase (Mr 67 000) in the basal ganglia of the rat: an immunohistochemical study with a selective cDNA-generated polyclonal antibody. Journal of Neurocytology. 20(12). 953–961. 50 indexed citations

7.

Kaufman, D L, et al.. (1987). Glutamic acid decarboxylase cDNA: nucleotide sequence encoding an enzymatically active fusion protein. Journal of Neuroscience. 7(9). 2768–2772. 177 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.

Explore authors with similar magnitude of impact