Thomas C. Furman

1.2k total citations · 1 hit paper
8 papers, 971 citations indexed

About

Thomas C. Furman is a scholar working on Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas C. Furman has authored 8 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas C. Furman's work include Chemical Synthesis and Analysis (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Thomas C. Furman is often cited by papers focused on Chemical Synthesis and Analysis (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Thomas C. Furman collaborates with scholars based in United States. Thomas C. Furman's co-authors include Michèle C. Smith, Charles Pidgeon, Thomas D. Ingolia, Hansen M. Hsiung, Dennis P. Smith, Brigitte Schoner, Jean‐Pierre Wery, John M. Beals, Lisa M. Churgay and Faming Zhang and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Biotechnology.

In The Last Decade

Thomas C. Furman

8 papers receiving 914 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Crystal structure of the obese protein Ieptin-E100

1997 541 citations Faming Zhang, John M. Beals et al. Nature profile →

Peers

Thomas C. Furman

MB

EAS

ND

EPIDE

PHYSI

Roman L. Zastawny Canada

Caroline May Germany

Amy Tam United States

Kazuhiro Ohsuye Japan

Tsuneo Asano Japan

Banabihari Giri United States

Alan Zhong United States

Yo Nakamura Japan

F G Berger United States

Philippe Delmotte United States

Roman L. Zastawny Canada

Thomas C. Furman

671 ×1.6

MB

94 ×0.2

EAS

64 ×0.3

ND

54 ×0.2

EPIDE

75 ×0.4

PHYSI

Citations per year, relative to Thomas C. Furman Thomas C. Furman (= 1×) peers Roman L. Zastawny

Countries citing papers authored by Thomas C. Furman

Since Specialization

Citations

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

Fields of papers citing papers by Thomas C. Furman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Furman. 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 Thomas C. Furman. The network helps show where Thomas C. Furman may publish in the future.

Co-authorship network of co-authors of Thomas C. Furman

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

All Works

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8 of 8 papers shown

1.

Zhang, Faming, John M. Beals, Steve Briggs, et al.. (1997). Crystal structure of the obese protein Ieptin-E100. Nature. 387(6629). 206–209. 541 indexed citations breakdown →

2.

Smith, Michèle C., Thomas C. Furman, James A. Cook, Thomas D. Ingolia, & Hansen M. Hsiung. (1989). Chelating peptide-immobilized metal ion affinity chromatography. Journal of Inorganic Biochemistry. 36(3-4). 277–277. 48 indexed citations

3.

Smith, Michèle C., James A. Cook, Thomas C. Furman, & John L. Occolowitz. (1989). Structure and Activity Dependence of Recombinant Human Insulin-like Growth Factor II on Disulfide Bond Pairing. Journal of Biological Chemistry. 264(16). 9314–9321. 26 indexed citations

4.

Smith, Michèle C., Thomas C. Furman, Thomas D. Ingolia, & Charles Pidgeon. (1988). Chelating peptide-immobilized metal ion affinity chromatography. A new concept in affinity chromatography for recombinant proteins.. Journal of Biological Chemistry. 263(15). 7211–7215. 203 indexed citations

5.

Smith, Michèle C., Thomas C. Furman, & Charles Pidgeon. (1987). Immobilized iminodiacetic acid metal peptide complexes. Identification of chelating peptide purification handles for recombinant proteins. Inorganic Chemistry. 26(12). 1965–1969. 65 indexed citations

6.

Furman, Thomas C., Janet K. Epp, Hansen M. Hsiung, et al.. (1987). Recombinant Human Insulin-Like Growth Factor II Expressed in Escherichia coli. Nature Biotechnology. 5(10). 1047–1051. 35 indexed citations

7.

Furman, Thomas C. & Kenneth Neet. (1983). Association equilibria and reacting enzyme gel filtration of yeast hexokinase.. Journal of Biological Chemistry. 258(8). 4930–4936. 20 indexed citations

8.

Neet, Kenneth, Thomas C. Furman, & William J. Hueston. (1982). Activation of yeast hexokinase by chelators and the enzymic slow transition due to metal-nucleotide interactions. Archives of Biochemistry and Biophysics. 213(1). 14–25. 33 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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