Mark Goldin

1.2k citations
29 papers · 349 · h-index 12

Impact in

Papers in

Mark Goldin

27 papers receiving 346 citations

Peers

Mark Goldin
Comparison fields: 5 of 53
  • Internal Medicine 166
  • Virology 72
  • Infectious Diseases 198
  • Neurology 71
  • Oncology 84
Replace Susan Louw with:
Susan Louw South Africa
Shu‐Mei Chang Taiwan
Luigi Atripaldi Italy
Matthew W. McClure United States
Xiaoqing Wu China
Ana Luiza Schneider Moreira Brazil
Pek Yoon Chong Singapore
Chatphatai Moonla Thailand
Charlotte Kaeuffer France
Mehrdad Rostami Iran
Mark Goldin relative to Susan Louw South Africa Susan Louw's profile →
Citations per field
00.5×9.3×
Susan Louw · 1×
Citations per year

Countries citing papers authored by Mark Goldin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Goldin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Goldin, 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 Mark Goldin Line = papers co-authored together Mark Goldin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201144
2 202141
3 201032
4 202130
5 202127
6 202125
7 202224
8 201622
9 202315
10 201115
11 202213
12 202212
13 202011
14 202310
15 20215
16 20184
17 20243
18 20223
19 20232
20 20212

About Mark Goldin

Mark Goldin is a scholar working on Internal Medicine, Infectious Diseases, Cardiology and Cardiovascular Medicine, Oncology and Surgery, having authored 29 papers that have together received 349 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (20 papers), COVID-19 Clinical Research Studies (11 papers), COVID-19 and healthcare impacts (8 papers), Atrial Fibrillation Management and Outcomes (5 papers), Long-Term Effects of COVID-19 (4 papers), Acute Myocardial Infarction Research (3 papers), HIV Research and Treatment (2 papers) and HIV/AIDS Research and Interventions (2 papers). The work is most often cited by research in Internal Medicine (166 citations), Virology (72 citations), Infectious Diseases (198 citations), Neurology (71 citations) and Oncology (84 citations). Mark Goldin has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Alex C. Spyropoulos, Dimitrios Giannis, Thomas McGinn, Stuart L. Cohen, Saurav Chatterjee, Jamie S. Hirsch, Eugenia Gianos, Kevin Coppa, Nina Kohn and Linqi Zhang. Their work appears in journals such as Thrombosis and Haemostasis, American Journal of Therapeutics, Journal of Thrombosis and Thrombolysis, Journal of Thrombosis and Haemostasis and Journal of Clinical Medicine.

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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