David H. Goetz

3.3k citations
17 papers · 2.7k indexed · 2 hit papers · h-index 15
Topics
Peptidase Inhibition and Analysis (4 papers)Trace Elements in Health (2 papers)Plant nutrient uptake and metabolism (2 papers)

In The Last Decade

David H. Goetz

17 papers receiving 2.6k citations

Hit Papers

The Neutrophil Lipocalin NGAL Is a Bacteriostatic Agent t...2002202620102018200220022505007501000

Peers

David H. Goetz
Comparison fields: 5 of 117
  • Molecular Biology 934
  • Nephrology 605
  • Hematology 427
  • Epidemiology 340
  • Immunology 332
Replace Yuichiro Higashimoto with:
Yuichiro Higashimoto Japan
Laura DeForge United States
Fernando Vivanco Spain
Anasuya Sarkar United States
Colleen Fearns United States
Xiaoting Wang China
Zhibin Zhang China
Christian Stehlik United States
Klaas Poelstra Netherlands
Prajwal Gurung United States
David H. Goetz relative to Yuichiro Higashimoto Japan Yuichiro Higashimoto's profile →
Citations per field
00.5×4.5×
Yuichiro Higashimoto · 1×
Citations per year

Countries citing papers authored by David H. Goetz

Since Specialization
Citations

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

Fields of papers citing papers by David H. Goetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Goetz. 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 David H. Goetz. The network helps show where David H. Goetz may publish in the future.

Co-authorship network of co-authors of David H. Goetz

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 13
2 19
3 42
4 237
5 118
6 52
7 27
8 20
9 14
10 81
11 51
12 65
13
An Iron Delivery Pathway Mediated by a Lipocalinbreakdown →
539
14
The Neutrophil Lipocalin NGAL Is a Bacteriostatic Agent that Interferes with Siderophore-Mediated Iron Acquisitionbreakdown →
1068
15 150
16 176
17 9

About David H. Goetz

David H. Goetz is a scholar working on Immunology and Allergy, Hematology and Biotechnology, having authored 17 papers that have together received 2.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Trace Elements in Health (2 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Nephrology (605 citations), Hematology (427 citations) and Critical Care and Intensive Care Medicine (171 citations). David H. Goetz has collaborated with scholars based in United States, Denmark and Ireland. Frequent co-authors include Roland K. Strong, Niels Borregaard, Kenneth N. Raymond, M.E. Bluhm, Margaret A. Holmes, Charles S. Craik, Daniel Hart, Laxminarayana R. Devireddy, Michael R. Green and Hediye Erdjument‐Bromage. Their work appears in journals such as Cell, Journal of Biological Chemistry and Molecular Cell.

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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