Abraham Kim

1.4k citations
21 papers · 1.1k · h-index 11

Impact in

Papers in

Abraham Kim

20 papers receiving 1.1k citations

Peers

Abraham Kim
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 537
  • Surgery 867
  • Genetics 470
  • Endocrine and Autonomic Systems 27
  • Molecular Biology 227
Replace German Kilimnik with:
German Kilimnik United States
Diane Ostrega United States
Mark Lipsett Canada
Manju Surana United States
Julie Støy Denmark
C. Socci Italy
C. F. H. Van Schravendijk Belgium
C. Hellerstr�m Sweden
David M. Blodgett United States
Susanne Pechhold United States
Abraham Kim relative to German Kilimnik United States German Kilimnik's profile →
Citations per field
00.5×1.5×
German Kilimnik · 1×
Citations per year

Countries citing papers authored by Abraham Kim

Since Specialization
Citations

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

Fields of papers citing papers by Abraham Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Abraham Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abraham Kim Line = papers co-authored together Abraham Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010372
2 2009292
3 2010119
4 200966
5 200963
6 199635
7 200933
8 201130
9 202126
10 201016
11 201113
12 20098
13
Developing a long-lasting tyrosinase inhibitor from Morus alba L
20066
14 20105
15 20114
16
The Plight of Bolivian Coca Leaves: Bolivia's Quest for Decriminalization in the Face of Inconsistent International Legislation
20142
17 20212
18 20041
19 20101
20 20201

About Abraham Kim

Abraham Kim is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Occupational Therapy, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (8 papers), Occupational Therapy Practice and Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Nursing Education, Practice, and Leadership (1 paper) and Bioactive natural compounds (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (537 citations), Surgery (867 citations), Genetics (470 citations), Endocrine and Autonomic Systems (27 citations) and Molecular Biology (227 citations). Abraham Kim has collaborated with scholars based in United States and Russia. Frequent co-authors include Manami Hara, Kevin Miller, German Kilimnik, Donald Steiner, Junghyo Jo, P. Wójcik, Donald F. Steiner, Theodore C. Friedman, Vipul Periwal and Michael Kharouta. Their work appears in journals such as Journal of Visualized Experiments, Applied Clinical Informatics, Diabetes Research and Clinical Practice, Clinical Gastroenterology and Hepatology and Applied Physics Letters.

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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